{"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":"/code/retrieve-latents","entry":"retrieve_latents","source":"Syntology graph, per-sample; not an archive number","read_at":"2026-09-24T18:15:14+00:00","claim":"Names are grouped by exact entry-name string. Same-named routines are NOT asserted to be equivalent; 'ran' means executed on a synthesized fixture, not correctness. n_samples_ran = sum of by_status over every status except 'unverified' (ran_draft_wrong and ran_fixture are failures of Syntology's instrument, not of the code); n_papers_ran = papers with at least one such sample.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"},"n_papers":23,"n_papers_ran":1,"units":"n_samples, n_samples_ran, n_samples_fingerprinted and by_status count distinct code bodies (code_sha256); n_places and n_places_pointer_only count places, one per (paper, code body) pair, which is also the unit of the samples list","n_samples":9,"n_samples_ran":1,"n_samples_fingerprinted":0,"n_places":25,"n_places_pointer_only":8,"by_status":{"ran_honours":0,"ran_violates":0,"ran_draft_wrong":0,"ran_fixture":0,"ran":1,"unverified":8},"syntology":{"atlas_url":null,"mcp":null,"mcp_per_sample":{"tool":"get_code","arguments_in":"samples[].mcp_get_code"},"developers":"https://syntology.ai/developers"},"samples":[{"arxiv_id":"2609.01148","paper":"/paper/arxiv-2609-01148","title":"Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement","date":null,"month_inferred_from_arxiv_id":"2026-09","title_source":"syntology","repo":"DragonisCV/EyeControl","path":"src/pipelines/training_pipeline.py","file_url":"https://github.com/DragonisCV/EyeControl/blob/HEAD/src/pipelines/training_pipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2601.19433","paper":"/paper/arxiv-2601-19433","title":"RoamScene3D: Immersive Text-to-3D Scene Generation via Adaptive Object-aware Roaming","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"JS-CHU/RoamScene3D","path":"src/pipeline_flux_fill.py","file_url":"https://github.com/JS-CHU/RoamScene3D/blob/HEAD/src/pipeline_flux_fill.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2601.17950","paper":"/paper/arxiv-2601-17950","title":"UPLiFT: Efficient Pixel-Dense Feature Upsampling with Local Attenders","date":null,"month_inferred_from_arxiv_id":"2026-01","title_source":"syntology","repo":"mwalmer-umd/UPLiFT","path":"uplift/extractors/diff_extractor.py","file_url":"https://github.com/mwalmer-umd/UPLiFT/blob/HEAD/uplift/extractors/diff_extractor.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"b339c0edb12b3f1f","mcp_get_code":{"code_sha256":"b339c0edb12b3f1f"}},{"arxiv_id":"2510.15783","paper":"/paper/arxiv-2510-15783","title":"ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection","date":null,"month_inferred_from_arxiv_id":"2025-10","title_source":"syntology","repo":"haoweiz23/ReCon","path":"pipelines/pipeline_controlnet_recon.py","file_url":"https://github.com/haoweiz23/ReCon/blob/HEAD/pipelines/pipeline_controlnet_recon.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"2508.09667","paper":"/paper/arxiv-2508-09667","title":"GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors","date":"2025-08-13","month_inferred_from_arxiv_id":null,"title_source":"syntology","repo":"GVCLab/GSFixer","path":"Reconstruction/gsfixer/cogvideo/pipeline_cogvideox_video2video_control.py","file_url":"https://github.com/GVCLab/GSFixer/blob/HEAD/Reconstruction/gsfixer/cogvideo/pipeline_cogvideox_video2video_control.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"2508.06033","paper":"/paper/arxiv-2508-06033","title":"InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow","date":null,"month_inferred_from_arxiv_id":"2025-08","title_source":"syntology","repo":"Supercomputing-System-AI-Lab/InstantEdit","path":"src/sd_inversion_pipeline.py","file_url":"https://github.com/Supercomputing-System-AI-Lab/InstantEdit/blob/HEAD/src/sd_inversion_pipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"d71bb2e5331b74e2","mcp_get_code":{"code_sha256":"d71bb2e5331b74e2"}},{"arxiv_id":"2507.15249","paper":null,"title":"arXiv:2507.15249","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"Monalissaa/FreeCus","path":"flux_utils.py","file_url":"https://github.com/Monalissaa/FreeCus/blob/HEAD/flux_utils.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"3abab93a0f26a1c9","mcp_get_code":{"code_sha256":"3abab93a0f26a1c9"}},{"arxiv_id":"2507.10225","paper":null,"title":"arXiv:2507.10225","date":null,"month_inferred_from_arxiv_id":"2025-07","title_source":null,"repo":"Jarvisgivemeasuit/SynOOD","path":"diffusion_inpainting_pipeline.py","file_url":"https://github.com/Jarvisgivemeasuit/SynOOD/blob/HEAD/diffusion_inpainting_pipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2503.10270","paper":"/paper/eedit-rethinking-the-spatial-and-temporal","title":"EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing","date":"2025-03-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yuriyanzexuan/eedit","path":"MyCodes/MyFluxCompositionPipeline.py","file_url":"https://github.com/yuriyanzexuan/eedit/blob/HEAD/MyCodes/MyFluxCompositionPipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2503.10270","paper":"/paper/eedit-rethinking-the-spatial-and-temporal","title":"EEdit: Rethinking the Spatial and Temporal Redundancy for Efficient Image Editing","date":"2025-03-13","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yuriyanzexuan/eedit","path":"MyCodes/MyFluxDragEditPipeline.py","file_url":"https://github.com/yuriyanzexuan/eedit/blob/HEAD/MyCodes/MyFluxDragEditPipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"259c256f3912d8ec","mcp_get_code":{"code_sha256":"259c256f3912d8ec"}},{"arxiv_id":"2502.08590","paper":"/paper/light-a-video-training-free-video-relighting","title":"Light-A-Video: Training-free Video Relighting via Progressive Light Fusion","date":"2025-02-12","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"bcmi/Light-A-Video","path":"src/ic_light_pipe.py","file_url":"https://github.com/bcmi/Light-A-Video/blob/HEAD/src/ic_light_pipe.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2412.16112","paper":"/paper/clear-conv-like-linearization-revs-pre","title":"CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up","date":"2024-12-20","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"huage001/clear","path":"pipeline_flux_img2img.py","file_url":"https://github.com/huage001/clear/blob/HEAD/pipeline_flux_img2img.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2412.06209","paper":"/paper/sound2vision-generating-diverse-visuals-from","title":"Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment","date":"2024-12-09","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"postech-ami/Sound2Scene","path":"src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img_sound2scene.py","file_url":"https://github.com/postech-ami/Sound2Scene/blob/HEAD/src/diffusers/pipelines/stable_diffusion/pipeline_stable_unclip_img2img_sound2scene.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2412.03632","paper":"/paper/mv-adapter-multi-view-consistent-image","title":"MV-Adapter: Multi-view Consistent Image Generation Made Easy","date":"2024-12-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"huanngzh/MV-Adapter","path":"mvadapter/pipelines/pipeline_mvadapter_i2mv_sdxl.py","file_url":"https://github.com/huanngzh/MV-Adapter/blob/HEAD/mvadapter/pipelines/pipeline_mvadapter_i2mv_sdxl.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"2412.03632","paper":"/paper/mv-adapter-multi-view-consistent-image","title":"MV-Adapter: Multi-view Consistent Image Generation Made Easy","date":"2024-12-04","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"huanngzh/MV-Adapter","path":"mvadapter/pipelines/pipeline_mvadapter_i2mv_sd.py","file_url":"https://github.com/huanngzh/MV-Adapter/blob/HEAD/mvadapter/pipelines/pipeline_mvadapter_i2mv_sd.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2411.16318","paper":"/paper/one-diffusion-to-generate-them-all","title":"One Diffusion to Generate Them All","date":"2024-11-25","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"lehduong/onediffusion","path":"onediffusion/diffusion/pipelines/onediffusion.py","file_url":"https://github.com/lehduong/onediffusion/blob/HEAD/onediffusion/diffusion/pipelines/onediffusion.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NOASSERTION","inline_ok":false,"code_sha256_prefix":"face06fc05f7e12b","mcp_get_code":{"code_sha256":"face06fc05f7e12b"}},{"arxiv_id":"2407.21705","paper":"/paper/tora-trajectory-oriented-diffusion","title":"Tora: Trajectory-oriented Diffusion Transformer for Video Generation","date":"2024-07-31","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"alibaba/Tora","path":"diffusers-version/tora/i2v_pipeline.py","file_url":"https://github.com/alibaba/Tora/blob/HEAD/diffusers-version/tora/i2v_pipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"2407.00788","paper":"/paper/instantstyle-plus-style-transfer-with-content","title":"InstantStyle-Plus: Style Transfer with Content-Preserving in Text-to-Image Generation","date":"2024-06-30","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"instantx-research/instantstyle-plus","path":"pipeline_controlnet_sd_xl_img2img.py","file_url":"https://github.com/instantx-research/instantstyle-plus/blob/HEAD/pipeline_controlnet_sd_xl_img2img.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"2406.07547","paper":"/paper/zero-shot-image-editing-with-reference","title":"Zero-shot Image Editing with Reference Imitation","date":"2024-06-11","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"ali-vilab/MimicBrush","path":"models/pipeline_mimicbrush.py","file_url":"https://github.com/ali-vilab/MimicBrush/blob/HEAD/models/pipeline_mimicbrush.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"b1c3f0a29f2e6e9d","mcp_get_code":{"code_sha256":"b1c3f0a29f2e6e9d"}},{"arxiv_id":"2405.13722","paper":"/paper/instadrag-lightning-fast-and-accurate-drag","title":"LightningDrag: Lightning Fast and Accurate Drag-based Image Editing Emerging from Videos","date":"2024-05-22","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"magic-research/lightningdrag","path":"pipeline/lightningdrag_pipeline.py","file_url":"https://github.com/magic-research/lightningdrag/blob/HEAD/pipeline/lightningdrag_pipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"d71bb2e5331b74e2","mcp_get_code":{"code_sha256":"d71bb2e5331b74e2"}},{"arxiv_id":"2404.14951","paper":"/paper/streamlining-the-image-stitching-pipeline","title":"Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model","date":"2024-04-23","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"yayoyo66/srstitcher","path":"pipes/diff_pipe_control.py","file_url":"https://github.com/yayoyo66/srstitcher/blob/HEAD/pipes/diff_pipe_control.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"MIT","inline_ok":true,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"2404.06666","paper":"/paper/safegen-mitigating-unsafe-content-generation","title":"SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models","date":"2024-04-10","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"letterligo/text-agnostic-governance","path":"src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py","file_url":"https://github.com/letterligo/text-agnostic-governance/blob/HEAD/src/diffusers/pipelines/text_to_video_synthesis/pipeline_text_to_video_synth_img2img.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}},{"arxiv_id":"2403.14773","paper":"/paper/streamingt2v-consistent-dynamic-and","title":"StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text","date":"2024-03-21","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"picsart-ai-research/streamingt2v","path":"code/i2v_enhance/pipeline_i2vgen_xl.py","file_url":"https://github.com/picsart-ai-research/streamingt2v/blob/HEAD/code/i2v_enhance/pipeline_i2vgen_xl.py","status":"ran","verification_level":1,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"code_sha256_prefix":"55e0040242e9c1c7","mcp_get_code":{"code_sha256":"55e0040242e9c1c7"}},{"arxiv_id":"2401.07519","paper":"/paper/instantid-zero-shot-identity-preserving","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","date":"2024-01-15","month_inferred_from_arxiv_id":null,"title_source":"archive","repo":"TheDenk/InstantID-Visual-Prompt","path":"pipeline_stable_diffusion_xl_instantid_img2img.py","file_url":"https://github.com/TheDenk/InstantID-Visual-Prompt/blob/HEAD/pipeline_stable_diffusion_xl_instantid_img2img.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"8262566e1ed7239a","mcp_get_code":{"code_sha256":"8262566e1ed7239a"}},{"arxiv_id":"openreview_YKamMflrv7","paper":null,"title":"arXiv:openreview_YKamMflrv7","date":null,"month_inferred_from_arxiv_id":null,"title_source":null,"repo":"G-U-N/UniRL","path":"unimodel/qwenkontext/fluxkontext_pipeline.py","file_url":"https://github.com/G-U-N/UniRL/blob/HEAD/unimodel/qwenkontext/fluxkontext_pipeline.py","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"Apache-2.0","inline_ok":true,"code_sha256_prefix":"98bcd15cf273e3b4","mcp_get_code":{"code_sha256":"98bcd15cf273e3b4"}}]}