{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/differentiable-augmentation-for-data","title":"Differentiable Augmentation for Data-Efficient GAN Training","arxiv_id":"2006.10738","date":"2020-06-18","proceeding":"NeurIPS 2020 12","authors":["Shengyu Zhao","Zhijian Liu","Ji Lin","Jun-Yan Zhu","Song Han"],"abstract":"The performance of generative adversarial networks (GANs) heavily deteriorates given a limited amount of training data. This is mainly because the discriminator is memorizing the exact training set. To combat it, we propose Differentiable Augmentation (DiffAugment), a simple method that improves the data efficiency of GANs by imposing various types of differentiable augmentations on both real and fake samples. Previous attempts to directly augment the training data manipulate the distribution of real images, yielding little benefit; DiffAugment enables us to adopt the differentiable augmentation for the generated samples, effectively stabilizes training, and leads to better convergence. Experiments demonstrate consistent gains of our method over a variety of GAN architectures and loss functions for both unconditional and class-conditional generation. With DiffAugment, we achieve a state-of-the-art FID of 6.80 with an IS of 100.8 on ImageNet 128x128 and 2-4x reductions of FID given 1,000 images on FFHQ and LSUN. Furthermore, with only 20% training data, we can match the top performance on CIFAR-10 and CIFAR-100. Finally, our method can generate high-fidelity images using only 100 images without pre-training, while being on par with existing transfer learning algorithms. Code is available at https://github.com/mit-han-lab/data-efficient-gans.","url_abs":"https://arxiv.org/abs/2006.10738v4","url_pdf":"https://arxiv.org/pdf/2006.10738v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/mit-han-lab/data-efficient-gans","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/POSTECH-CVLab/PyTorch-StudioGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/VITA-Group/Ultra-Data-Efficient-GAN-Training","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/eps696/stylegan2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/gaborvecsei/SLE-GAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/milmor/LadaGAN-pytorch","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/milmor/TransGAN","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/milmor/ladagan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/milmor/self-supervised-gan","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/shreshtashetty/CycleGANPhototoMonet","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/uzielroy/StyleGan_FewShot","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"differentiable-augmentation-for-data","repo_url":"https://github.com/jankrepl/mildlyoverfitted","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"jax","reach":null}],"tasks":[{"task_slug":"image-generation","task_name":"Image Generation"}],"methods":[{"method_slug":"1x1-convolution","method_name":"1x1 Convolution"},{"method_slug":"adam","method_name":"Adam"},{"method_slug":"batch-normalization","method_name":"Batch Normalization"},{"method_slug":"biggan","method_name":"BigGAN"},{"method_slug":"colorjitter","method_name":"ColorJitter"},{"method_slug":"conditional-batch-normalization","method_name":"Conditional Batch Normalization"},{"method_slug":"convolution","method_name":"Convolution"},{"method_slug":"cutout","method_name":"Cutout"},{"method_slug":"dense-connections","method_name":"Dense Connections"},{"method_slug":"diffaugment","method_name":"DiffAugment"},{"method_slug":"early-stopping","method_name":"Early Stopping"},{"method_slug":"feedforward-network","method_name":"Feedforward Network"},{"method_slug":"gan-hinge-loss","method_name":"GAN Hinge Loss"},{"method_slug":"linear-layer","method_name":"Linear Layer"},{"method_slug":"non-local-block","method_name":"Non-Local Block"},{"method_slug":"non-local-operation","method_name":"Non-Local Operation"},{"method_slug":"off-diagonal-orthogonal-regularization","method_name":"Off-Diagonal Orthogonal Regularization"},{"method_slug":"path-length-regularization","method_name":"Path Length Regularization"},{"method_slug":"projection-discriminator","method_name":"Projection Discriminator"},{"method_slug":"r1-regularization","method_name":"R1 Regularization"},{"method_slug":"relu","method_name":"ReLU"},{"method_slug":"residual-block","method_name":"Residual Block"},{"method_slug":"residual-connection","method_name":"Residual Connection"},{"method_slug":"sagan","method_name":"SAGAN"},{"method_slug":"softmax","method_name":"Softmax"},{"method_slug":"spectral-normalization","method_name":"Spectral Normalization"},{"method_slug":"stylegan2","method_name":"StyleGAN2"},{"method_slug":"ttur","method_name":"TTUR"},{"method_slug":"truncation-trick","method_name":"Truncation Trick"},{"method_slug":"weight-demodulation","method_name":"Weight Demodulation"}],"datasets_introduced":[],"methods_introduced":[{"slug":"diffaugment","name":"DiffAugment","full_name":"DiffAugment"}],"results":[{"leaderboard":"/sota/image-generation-on-cifar-10","task":"Image Generation","dataset":"CIFAR-10","model":"DiffAugment-BigGAN","rank_in_archive_order":32,"of":78,"metrics":{"FID":"4.61"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-cifar-10-10-data","task":"Image Generation","dataset":"CIFAR-10 (10% data)","model":"DiffAugment-StyleGAN2","rank_in_archive_order":1,"of":3,"metrics":{"FID":"14.5"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-cifar-10-10-data","task":"Image Generation","dataset":"CIFAR-10 (10% data)","model":"DiffAugment-CR-BigGAN","rank_in_archive_order":2,"of":3,"metrics":{"FID":"18.7"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-cifar-10-10-data","task":"Image Generation","dataset":"CIFAR-10 (10% data)","model":"DiffAugment-BigGAN","rank_in_archive_order":3,"of":3,"metrics":{"FID":"22.4"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-cifar-10-20-data","task":"Image Generation","dataset":"CIFAR-10 (20% data)","model":"DiffAugment-StyleGAN2","rank_in_archive_order":1,"of":3,"metrics":{"FID":"12.15"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-cifar-10-20-data","task":"Image Generation","dataset":"CIFAR-10 (20% data)","model":"DiffAugment-CR-BigGAN","rank_in_archive_order":2,"of":3,"metrics":{"FID":"12.84"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-cifar-10-20-data","task":"Image Generation","dataset":"CIFAR-10 (20% data)","model":"DiffAugment-BigGAN","rank_in_archive_order":3,"of":3,"metrics":{"FID":"14.04"},"uses_additional_data":false},{"leaderboard":"/sota/image-generation-on-imagenet-128x128","task":"Image Generation","dataset":"ImageNet 128x128","model":"DiffAugment-BigGAN","rank_in_archive_order":16,"of":23,"metrics":{"FID":"6.8","IS":"100.8"},"uses_additional_data":false}],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2006.10738","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.10738"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"deterministic:regex_extraction","url":"https://github.com/mit-han-lab/data-efficient-gans","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/POSTECH-CVLab/PyTorch-StudioGAN","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/VITA-Group/Ultra-Data-Efficient-GAN-Training","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/jankrepl/mildlyoverfitted","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/uzielroy/StyleGan_FewShot","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/milmor/TransGAN","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/shreshtashetty/CycleGANPhototoMonet","reach":{"status":"ok"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/milmor/LadaGAN-pytorch","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/milmor/ladagan","reach":{"status":"ok","spdx":"MIT"}},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/gaborvecsei/SLE-GAN","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/milmor/self-supervised-gan","reach":null},{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/eps696/stylegan2","reach":null}],"summary":{"ran_fixture":21,"ran_draft_wrong":9,"ran":3,"ran_honours":2,"ran_violates":1,"unverified":22},"by_repo_kind":{"official":{"samples":7,"ran":7,"repositories":1},"listed":{"samples":51,"ran":29,"repositories":10}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":12,"samples":[{"code_sha256_prefix":"b0bbabd6de30f612","entry":"DiffAugment","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"b0bbabd6de30f612"}},{"code_sha256_prefix":"5a98bf7c8a33d10d","entry":"DiffAugment","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"5a98bf7c8a33d10d"}},{"code_sha256_prefix":"b13ee69651d4b880","entry":"DiffAugment","repo":"VITA-Group/Ultra-Data-Efficient-GAN-Training","repo_kind":"listed","path":"BigGAN and DiffAugGAN/utils/diff_aug.py","file_url":"https://github.com/VITA-Group/Ultra-Data-Efficient-GAN-Training/blob/HEAD/BigGAN%20and%20DiffAugGAN/utils/diff_aug.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"b13ee69651d4b880"}},{"code_sha256_prefix":"106e066ecaa411cb","entry":"DiffAugment","repo":"milmor/self-supervised-gan","repo_kind":"listed","path":"diffaug.py","file_url":"https://github.com/milmor/self-supervised-gan/blob/HEAD/diffaug.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"106e066ecaa411cb"}},{"code_sha256_prefix":"719b769b10895fa0","entry":"DiffAugment","repo":"eps696/stylegan2","repo_kind":"listed","path":"src/training/DiffAugment_tf.py","file_url":"https://github.com/eps696/stylegan2/blob/HEAD/src/training/DiffAugment_tf.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"719b769b10895fa0"}},{"code_sha256_prefix":"9f13704fe37f3a7f","entry":"DiffAugment","repo":"milmor/TransGAN","repo_kind":"listed","path":"diffaug.py","file_url":"https://github.com/milmor/TransGAN/blob/HEAD/diffaug.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9f13704fe37f3a7f"}},{"code_sha256_prefix":"aff3959c75a4b707","entry":"DiffAugment","repo":"claim-berlin/3d_stylegan_circle_of_willis","repo_kind":"listed","path":"diff_augment.py","file_url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis/blob/HEAD/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"aff3959c75a4b707"}},{"code_sha256_prefix":"11fe0ba0c9c1c2ba","entry":"apply_diffaug","repo":"POSTECH-CVLab/PyTorch-StudioGAN","repo_kind":"listed","path":"src/utils/diffaug.py","file_url":"https://github.com/POSTECH-CVLab/PyTorch-StudioGAN/blob/HEAD/src/utils/diffaug.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"11fe0ba0c9c1c2ba"}},{"code_sha256_prefix":"4cee7c1861294d59","entry":"calculate_frechet_distance","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/fid_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/fid_score.py","link_basis":"harvester_set","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4cee7c1861294d59"}},{"code_sha256_prefix":"4e9a3e9a819d11b0","entry":"diff_augment","repo":"gaborvecsei/SLE-GAN","repo_kind":"listed","path":"sle_gan/diff_augment.py","file_url":"https://github.com/gaborvecsei/SLE-GAN/blob/HEAD/sle_gan/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4e9a3e9a819d11b0"}},{"code_sha256_prefix":"5ef2eff36d9c9c0e","entry":"equal_lr","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"model.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/model.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5ef2eff36d9c9c0e"}},{"code_sha256_prefix":"c8ceba12b6020549","entry":"get_gaussian_kernel","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/swd_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/swd_score.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c8ceba12b6020549"}},{"code_sha256_prefix":"4a3a50d5b90d9dac","entry":"pyramid_down","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/swd_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/swd_score.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4a3a50d5b90d9dac"}},{"code_sha256_prefix":"d6f847810616ed82","entry":"pyramid_up","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/swd_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/swd_score.py","link_basis":"harvester_set","language":"python","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d6f847810616ed82"}},{"code_sha256_prefix":"fd66a45971195f9a","entry":"rand_brightness","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"fd66a45971195f9a"}},{"code_sha256_prefix":"011230b2b9b8fb6f","entry":"rand_brightness","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"diffaug.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/diffaug.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"011230b2b9b8fb6f"}},{"code_sha256_prefix":"c0fd34aac0b4d83d","entry":"rand_brightness","repo":"gaborvecsei/SLE-GAN","repo_kind":"listed","path":"sle_gan/diff_augment.py","file_url":"https://github.com/gaborvecsei/SLE-GAN/blob/HEAD/sle_gan/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c0fd34aac0b4d83d"}},{"code_sha256_prefix":"23b9e86dc02652cc","entry":"rand_brightness","repo":"eps696/stylegan2","repo_kind":"listed","path":"src/training/DiffAugment_tf.py","file_url":"https://github.com/eps696/stylegan2/blob/HEAD/src/training/DiffAugment_tf.py","link_basis":"first_harvest_node","language":"python","status":"ran_honours","verification_level":1,"contract_check":"HONOURS","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"23b9e86dc02652cc"}},{"code_sha256_prefix":"0054342024c45e46","entry":"rand_brightness","repo":"claim-berlin/3d_stylegan_circle_of_willis","repo_kind":"listed","path":"diff_augment.py","file_url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis/blob/HEAD/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"0054342024c45e46"}},{"code_sha256_prefix":"cf3f99cfbe8f451a","entry":"rand_contrast","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"cf3f99cfbe8f451a"}},{"code_sha256_prefix":"1ea606a1b578d9fd","entry":"rand_contrast","repo":"gaborvecsei/SLE-GAN","repo_kind":"listed","path":"sle_gan/diff_augment.py","file_url":"https://github.com/gaborvecsei/SLE-GAN/blob/HEAD/sle_gan/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"1ea606a1b578d9fd"}},{"code_sha256_prefix":"7668b11c66661278","entry":"rand_contrast","repo":"eps696/stylegan2","repo_kind":"listed","path":"src/training/DiffAugment_tf.py","file_url":"https://github.com/eps696/stylegan2/blob/HEAD/src/training/DiffAugment_tf.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"7668b11c66661278"}},{"code_sha256_prefix":"93a3d74d32b20296","entry":"rand_contrast","repo":"claim-berlin/3d_stylegan_circle_of_willis","repo_kind":"listed","path":"diff_augment.py","file_url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis/blob/HEAD/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"93a3d74d32b20296"}},{"code_sha256_prefix":"8a8f1bb31f56eb41","entry":"rand_cutout","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"8a8f1bb31f56eb41"}},{"code_sha256_prefix":"7eedee91371852fd","entry":"rand_cutout","repo":"gaborvecsei/SLE-GAN","repo_kind":"listed","path":"sle_gan/diff_augment.py","file_url":"https://github.com/gaborvecsei/SLE-GAN/blob/HEAD/sle_gan/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7eedee91371852fd"}},{"code_sha256_prefix":"d3f6dbbf7ed4b605","entry":"rand_cutout","repo":"eps696/stylegan2","repo_kind":"listed","path":"src/training/DiffAugment_tf.py","file_url":"https://github.com/eps696/stylegan2/blob/HEAD/src/training/DiffAugment_tf.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"d3f6dbbf7ed4b605"}},{"code_sha256_prefix":"d2d7ad30f29efa00","entry":"rand_cutout","repo":"milmor/TransGAN","repo_kind":"listed","path":"diffaug.py","file_url":"https://github.com/milmor/TransGAN/blob/HEAD/diffaug.py","link_basis":"first_harvest_node","language":"python","status":"ran_violates","verification_level":1,"contract_check":"VIOLATES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d2d7ad30f29efa00"}},{"code_sha256_prefix":"abafb0afcfb5d028","entry":"rand_saturation","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"abafb0afcfb5d028"}},{"code_sha256_prefix":"5b0d8787e670fc63","entry":"rand_saturation","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"diffaug.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/diffaug.py","link_basis":"harvester_set","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"5b0d8787e670fc63"}},{"code_sha256_prefix":"fe6b745a5727de14","entry":"rand_saturation","repo":"gaborvecsei/SLE-GAN","repo_kind":"listed","path":"sle_gan/diff_augment.py","file_url":"https://github.com/gaborvecsei/SLE-GAN/blob/HEAD/sle_gan/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"fe6b745a5727de14"}},{"code_sha256_prefix":"c8f9bf34313b879d","entry":"rand_saturation","repo":"eps696/stylegan2","repo_kind":"listed","path":"src/training/DiffAugment_tf.py","file_url":"https://github.com/eps696/stylegan2/blob/HEAD/src/training/DiffAugment_tf.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"c8f9bf34313b879d"}},{"code_sha256_prefix":"64f17a01e2d642b0","entry":"rand_translation","repo":"mit-han-lab/data-efficient-gans","repo_kind":"official","path":"DiffAugment_pytorch.py","file_url":"https://github.com/mit-han-lab/data-efficient-gans/blob/HEAD/DiffAugment_pytorch.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"BSD-2-Clause","inline_ok":true,"mcp_get_code":{"code_sha256":"64f17a01e2d642b0"}},{"code_sha256_prefix":"4cfe42eb20e188c9","entry":"rand_translation","repo":"VITA-Group/Ultra-Data-Efficient-GAN-Training","repo_kind":"listed","path":"BigGAN and DiffAugGAN/utils/diff_aug.py","file_url":"https://github.com/VITA-Group/Ultra-Data-Efficient-GAN-Training/blob/HEAD/BigGAN%20and%20DiffAugGAN/utils/diff_aug.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":"invariant","behaviour_fingerprint":true,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"4cfe42eb20e188c9"}},{"code_sha256_prefix":"3960a5e348576c26","entry":"rand_translation","repo":"gaborvecsei/SLE-GAN","repo_kind":"listed","path":"sle_gan/diff_augment.py","file_url":"https://github.com/gaborvecsei/SLE-GAN/blob/HEAD/sle_gan/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3960a5e348576c26"}},{"code_sha256_prefix":"5895184332d50243","entry":"rand_translation","repo":"eps696/stylegan2","repo_kind":"listed","path":"src/training/DiffAugment_tf.py","file_url":"https://github.com/eps696/stylegan2/blob/HEAD/src/training/DiffAugment_tf.py","link_basis":"first_harvest_node","language":"python","status":"ran_fixture","verification_level":1,"contract_check":"RAISES","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"5895184332d50243"}},{"code_sha256_prefix":"164a3d8cb51836fd","entry":"rand_translation","repo":"claim-berlin/3d_stylegan_circle_of_willis","repo_kind":"listed","path":"diff_augment.py","file_url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis/blob/HEAD/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"164a3d8cb51836fd"}},{"code_sha256_prefix":"a76fa2aebbbe157d","entry":"FM_reg","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"finetune.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/finetune.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a76fa2aebbbe157d"}},{"code_sha256_prefix":"591df4f8315785cd","entry":"calc_distances","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"save_images_monet.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/save_images_monet.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"591df4f8315785cd"}},{"code_sha256_prefix":"c5a04d1cab5f16a8","entry":"calculate_activation_statistics","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"fid.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/fid.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"c5a04d1cab5f16a8"}},{"code_sha256_prefix":"9128352cd567690a","entry":"calculate_activation_statistics","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/fid_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/fid_score.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9128352cd567690a"}},{"code_sha256_prefix":"7bd28928af1bae66","entry":"calculate_frechet_distance","repo":"milmor/ladagan","repo_kind":"listed","path":"tensorflow/fid.py","file_url":"https://github.com/milmor/ladagan/blob/HEAD/tensorflow/fid.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"7bd28928af1bae66"}},{"code_sha256_prefix":"0c5eecc2f5f4579c","entry":"create_loader","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"image_datasets.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/image_datasets.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0c5eecc2f5f4579c"}},{"code_sha256_prefix":"dfe4839c7c03b7fa","entry":"d_logistic_loss","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"dfe4839c7c03b7fa"}},{"code_sha256_prefix":"0143fef228211c97","entry":"d_r1_loss","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"0143fef228211c97"}},{"code_sha256_prefix":"05e9b8206464518b","entry":"denormalize","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"utils.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"05e9b8206464518b"}},{"code_sha256_prefix":"63749a9f8d05d87c","entry":"get_activations","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"fid.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/fid.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"63749a9f8d05d87c"}},{"code_sha256_prefix":"a3ef5898d81d8dd1","entry":"get_activations","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/fid_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/fid_score.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"a3ef5898d81d8dd1"}},{"code_sha256_prefix":"60afeee00005b62b","entry":"get_map","repo":"milmor/ladagan","repo_kind":"listed","path":"tensorflow/plot_utils.py","file_url":"https://github.com/milmor/ladagan/blob/HEAD/tensorflow/plot_utils.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"60afeee00005b62b"}},{"code_sha256_prefix":"e176b3170e9eb7f9","entry":"graipher","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"save_images_monet.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/save_images_monet.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e176b3170e9eb7f9"}},{"code_sha256_prefix":"e997ac6a2c12732a","entry":"images_pca","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"save_images_monet.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/save_images_monet.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"e997ac6a2c12732a"}},{"code_sha256_prefix":"76bc532052b7504c","entry":"l2_loss","repo":"milmor/ladagan","repo_kind":"listed","path":"tensorflow/trainer.py","file_url":"https://github.com/milmor/ladagan/blob/HEAD/tensorflow/trainer.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"76bc532052b7504c"}},{"code_sha256_prefix":"3d111932e00fa877","entry":"l2_reg","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"finetune.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/finetune.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"3d111932e00fa877"}},{"code_sha256_prefix":"9b9d7e8b8644417b","entry":"list_image_files","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"image_datasets.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/image_datasets.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"9b9d7e8b8644417b"}},{"code_sha256_prefix":"79d4e2efdb8db1f5","entry":"pixel_upsample","repo":"milmor/LadaGAN-pytorch","repo_kind":"listed","path":"model.py","file_url":"https://github.com/milmor/LadaGAN-pytorch/blob/HEAD/model.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"79d4e2efdb8db1f5"}},{"code_sha256_prefix":"d4eb4c7282c41f98","entry":"pixel_upsample","repo":"milmor/ladagan","repo_kind":"listed","path":"tensorflow/model.py","file_url":"https://github.com/milmor/ladagan/blob/HEAD/tensorflow/model.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"d4eb4c7282c41f98"}},{"code_sha256_prefix":"8fdb950a259799fe","entry":"polynomial_mmd","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/kid_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/kid_score.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"8fdb950a259799fe"}},{"code_sha256_prefix":"afe497bbaa6085f4","entry":"polynomial_mmd_averages","repo":"uzielroy/StyleGan_FewShot","repo_kind":"listed","path":"metric/kid_score.py","file_url":"https://github.com/uzielroy/StyleGan_FewShot/blob/HEAD/metric/kid_score.py","link_basis":"harvester_set","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"mcp_get_code":{"code_sha256":"afe497bbaa6085f4"}},{"code_sha256_prefix":"390fc5d117993c38","entry":"rand_cutout","repo":"claim-berlin/3d_stylegan_circle_of_willis","repo_kind":"listed","path":"diff_augment.py","file_url":"https://github.com/claim-berlin/3d_stylegan_circle_of_willis/blob/HEAD/diff_augment.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"mcp_get_code":{"code_sha256":"390fc5d117993c38"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}