| Rethinking Dataset Distillation for Classification: Do Distilled Sets Outperform Coresets? added by Syntology |
2026-06 (from id) |
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| JLT: Clean-Latent Prediction in Latent Diffusion Transformers added by Syntology |
2026-05 (from id) |
akatsuki-neo/JLT/util/crop.py 1712a07966b542ee |
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MIT (permissive) |
| RemEdit: Efficient Diffusion Editing with Riemannian Geometry added by Syntology |
2026-01 (from id) |
eashanadhikarla/RemEdit/src/datasets/IMAGENET_dataset.py 8ab9a97df8161f31 |
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| Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features added by Syntology |
2025-12 (from id) |
openai/guided-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Enhancing Diffusion Model Guidance through Calibration and Regularization added by Syntology |
2025-11 (from id) |
ajavid34/guided-info-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Flow-Anchored Consistency Models |
4 Jul 2025 |
ali-vilab/FACM/ldit/autoencoder.py 1712a07966b542ee |
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| D-AR: Diffusion via Autoregressive Models |
29 May 2025 |
showlab/d-ar/dataset/augmentation.py 1712a07966b542ee |
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| Unified Continuous Generative Models |
12 May 2025 |
LINs-Lab/UCGM/autoencs/autoencoder.py 1712a07966b542ee |
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| Diffusion Transformers for Tabular Data Time Series Generation |
10 Apr 2025 |
ML-GSAI/Scaling-Diffusion-Transformers-muP/DiT/train_mup.py ea73360d2d5d9224 |
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| Lumina-Image 2.0: A Unified and Efficient Image Generative Framework |
27 Mar 2025 |
Alpha-VLLM/Lumina-Image-2.0/imgproc.py ea73360d2d5d9224 |
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| Autoregressive Image Generation with Randomized Parallel Decoding |
13 Mar 2025 |
hp-l33/ARPG/dataset/augmentation.py 1712a07966b542ee |
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| LightGen: Efficient Image Generation through Knowledge Distillation and Direct Preference Optimization |
11 Mar 2025 |
xianfengwu01/lightgen/util/crop.py 1712a07966b542ee |
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| FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction |
27 Feb 2025 |
jiaosiyu1999/FlexVAR/dataset/augmentation.py 1712a07966b542ee |
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MIT (permissive) |
| Fractal Generative Models |
24 Feb 2025 |
LTH14/fractalgen/util/crop.py 1712a07966b542ee |
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| Improved Diffusion-based Generative Model with Better Adversarial Robustness |
24 Feb 2025 |
kugwzk/AT_Diff/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Improved Training Technique for Latent Consistency Models |
3 Feb 2025 |
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| ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer |
10 Dec 2024 |
thunlp/acdit/transform_utils.py 1712a07966b542ee |
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| Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising |
7 Dec 2024 |
vainf/remix-dit/extract_features.py 1712a07966b542ee |
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| ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality |
5 Dec 2024 |
ThisisBillhe/ZipAR/LlamaGen-ZipAR/dataset/augmentation.py 1712a07966b542ee |
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| TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation |
4 Dec 2024 |
ByteFlow-AI/TokenFlow/tokenflow/dataset/augmentation.py 1712a07966b542ee |
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| TinyFusion: Diffusion Transformers Learned Shallow |
2 Dec 2024 |
vainf/tinyfusion/prune_by_score.py 1712a07966b542ee |
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| UrbanDiT: A Foundation Model for Open-World Urban Spatio-Temporal Learning |
19 Nov 2024 |
tsinghua-fib-lab/UrbanDiT/src/train_one_step.py 1712a07966b542ee |
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MIT (permissive) |
| Continuous Speculative Decoding for Autoregressive Image Generation |
18 Nov 2024 |
markxcloud/cspd/util/crop.py 1712a07966b542ee |
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MIT (permissive) |
| Physics Informed Distillation for Diffusion Models |
13 Nov 2024 |
pantheon5100/pid_diffusion/cm/image_datasets.py 8ab9a97df8161f31 |
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| ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis |
11 Nov 2024 |
leaplabthu/enat/dataset.py f8b4a29a52612a41 |
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| EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching |
31 Oct 2024 |
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| BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation Capabilities |
18 Oct 2024 |
haoosz/BiGR/apps/enrich.py ea73360d2d5d9224 |
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| Think While You Generate: Discrete Diffusion with Planned Denoising |
8 Oct 2024 |
liusulin/DDPD/imagenet/train_planner.py 1712a07966b542ee |
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MIT (permissive) |
| MonoFormer: One Transformer for Both Diffusion and Autoregression |
24 Sep 2024 |
MonoFormer/MonoFormer/imgproc.py 27c5a16fa884fb87 |
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| PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions |
23 Sep 2024 |
afeng-x/pixwizard/imgproc.py ea73360d2d5d9224 |
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MIT (permissive) |
| OmniGen: Unified Image Generation |
17 Sep 2024 |
vectorspacelab/omnigen/OmniGen/utils.py ea73360d2d5d9224 |
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| Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models |
16 Sep 2024 |
yuchuantian/u-dit/train_accelerate.py 1712a07966b542ee |
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| AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation |
31 Aug 2024 |
leaplabthu/adanat/datasets_uvit.py f8b4a29a52612a41 |
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| A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models |
12 Aug 2024 |
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| Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators |
11 Aug 2024 |
leaplabthu/attention-mediators/attention_mediator/train_256to512.py 95bcfe1a68b3578c |
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| Inverse Problems with Diffusion Models: A MAP Estimation Perspective |
27 Jul 2024 |
guthasaibharathchandra/MAP-GA/cm/image_datasets.py 8ab9a97df8161f31 |
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| Scaling Diffusion Transformers to 16 Billion Parameters |
16 Jul 2024 |
feizc/dit-moe/train_deepspeed.py 1712a07966b542ee |
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| Self-Guided Generation of Minority Samples Using Diffusion Models |
16 Jul 2024 |
soobin-um/sg-minority/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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MIT (permissive) |
| Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization |
13 Jun 2024 |
qihao067/DiMR/datasets.py f8b4a29a52612a41 |
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| Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation |
10 Jun 2024 |
foundationvision/llamagen/dataset/augmentation.py 1712a07966b542ee |
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MIT (permissive) |
| Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis |
8 Jun 2024 |
leaplabthu/improvednat/dataset.py f8b4a29a52612a41 |
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| Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching |
3 Jun 2024 |
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| OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving |
30 May 2024 |
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| Fast Samplers for Inverse Problems in Iterative Refinement Models |
27 May 2024 |
NVlabs/RED-diff/datasets/imagenet.py d96f46caebdb91c0 |
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| A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training |
27 May 2024 |
1zeryu/speed/speed/dataset/transform.py 1712a07966b542ee |
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| DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models |
27 May 2024 |
yuanzhi-zhu/DiffPIR/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Bidirectional Consistency Models |
26 Mar 2024 |
Mosasaur5526/BCM-iCT-torch/BCM/scripts/image_sample.py 8ab9a97df8161f31 |
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| Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance |
26 Mar 2024 |
KU-CVLAB/Perturbed-Attention-Guidance/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| ZigMa: A DiT-style Zigzag Mamba Diffusion Model |
20 Mar 2024 |
CompVis/zigma/datasets/video_utils.py 1712a07966b542ee |
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| A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data |
26 Feb 2024 |
pcsl-epfl/forward-backward-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| DiffiT: Diffusion Vision Transformers for Image Generation |
4 Dec 2023 |
nvlabs/diffit/diffit/image_datasets.py 8ab9a97df8161f31 |
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| Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? |
30 Nov 2023 |
zhengyuezhao/gridpure/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Do text-free diffusion models learn discriminative visual representations? |
29 Nov 2023 |
soumik-kanad/diffssl/guided_diffusion/image_datasets.py f8b4a29a52612a41 |
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| Efficient Dataset Distillation via Minimax Diffusion |
27 Nov 2023 |
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| UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs |
14 Nov 2023 |
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| DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models |
15 Aug 2023 |
cure-lab/DiffGuard/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry |
24 Jul 2023 |
enkeejunior1/Diffusion-Pullback/src/models/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Generative Semantic Communication: Diffusion Models Beyond Bit Recovery |
7 Jun 2023 |
ispamm/gesco/guided_diffusion/image_datasets.py bb374811b1630c4c |
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| Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models |
5 Jun 2023 |
muhamadusman/assist/DiffusionModel/image_datasets.py 8ab9a97df8161f31 |
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MIT (permissive) |
| Image generation with shortest path diffusion |
1 Jun 2023 |
mtkresearch/shortest-path-diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Denoising Diffusion Models for Plug-and-Play Image Restoration |
15 May 2023 |
yuanzhi-zhu/diffpir/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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MIT (permissive) |
| Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning |
25 Apr 2023 |
thu-ml/cep-energy-guided-diffusion/images/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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MIT (permissive) |
| Consistency Models |
2 Mar 2023 |
openai/consistency_models/cm/image_datasets.py 8ab9a97df8161f31 |
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| Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels |
21 Feb 2023 |
ML-GSAI/DPT/datasets.py f8b4a29a52612a41 |
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| Scalable Diffusion Models with Transformers |
19 Dec 2022 |
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| Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models |
28 Nov 2022 |
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| SinDiffusion: Learning a Diffusion Model from a Single Natural Image |
22 Nov 2022 |
weilunwang/sindiffusion/guided_diffusion/image_datasets.py 0b370d8cdcf5c1b9 |
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| Diffusion Models already have a Semantic Latent Space |
20 Oct 2022 |
kwonminki/Asyrp_official/datasets/IMAGENET_dataset.py 8ab9a97df8161f31 |
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MIT (permissive) |
| Improving Sample Quality of Diffusion Models Using Self-Attention Guidance |
3 Oct 2022 |
KU-CVLAB/Self-Attention-Guidance/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Semantic Image Synthesis via Diffusion Models |
30 Jun 2022 |
marinadominguez/diffusion-for-us-images/semantic_diffusion_model/guided_diffusion/image_datasets.py f2f282fccca577a4 |
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| (Certified!!) Adversarial Robustness for Free! |
21 Jun 2022 |
ethz-privsec/diffusion_denoised_smoothing/imagenet/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Accelerating Diffusion Models via Early Stop of the Diffusion Process |
25 May 2022 |
zhaoyanglyu/early_stopped_ddpm/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Diffusion Models for Counterfactual Explanations |
29 Mar 2022 |
guillaumejs2403/DiME/core/image_datasets.py f8b4a29a52612a41 |
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MIT (permissive) |
| Diffusion Models for Medical Anomaly Detection |
8 Mar 2022 |
JuliaWolleb/diffusion-anomaly/guided_diffusion/image_datasets.py 86181c648bfa8a4b |
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| Blended Diffusion for Text-driven Editing of Natural Images |
29 Nov 2021 |
omriav/blended-diffusion/guided_diffusion/guided_diffusion/image_datasets.py 8ab9a97df8161f31 |
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| Few-shot Image Generation with Mixup-based Distance Learning |
23 Nov 2021 |
rowerliu/adbd/guided_diffusion/image_datasets.py f8b4a29a52612a41 |
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MIT (permissive) |
| arXiv:Xiao_OmniGen_Unified_Image_Generation_CVPR_2025_paper |
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VectorSpaceLab/OmniGen/OmniGen/utils.py ea73360d2d5d9224 |
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| arXiv:Li_WF-VAE_Enhancing_Video_VAE_by_Wavelet-Driven_Energy_Flow_for_Latent_CVPR_2025_paper |
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PKU-YuanGroup/WF-VAE/causalvideovae/dataset/transform.py 235657e8b7d6b0c4 |
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| arXiv:Hertz_Style_Aligned_Image_Generation_via_Shared_Attention_CVPR_2024_paper |
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aim-uofa/StyleDrop-PyTorch/datasets.py f8b4a29a52612a41 |
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