[NeurIPS 2024] RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
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Oct 13, 2024 - Jupyter Notebook
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classifier-guidance
Here are 13 public repositories matching this topic...
🔥 [WACV'25] Official implementation of "DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement"
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Sep 6, 2025 - Python
[CVPR 2025] Official source codes for the paper: EmoDubber: Towards High Quality and Emotion Controllable Movie Dubbing.
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Jun 3, 2025 - Python
[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation
pytorch generative-models diffusion-models conditional-generation score-matching score-based-generative-modeling score-based-generative-models denoising-score-matching dlsm classifier-guidance
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Jun 15, 2026 - Python
Diffusion Tutorials (Enhanced Chinese Edition) — A Chinese-translated and theory-enhanced version of tsmatz/diffusion-tutorials, bridging diffusion model theory (DDPM/SMLD/SDE) with practical PyTorch implementations.
machine-learning computer-vision deep-learning pytorch sde stochastic-processes probabilistic-modeling generative-models diffusion-models stable-diffusion classifier-free-guidance classifier-guidance ddpmpipeline score-based-model
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Mar 28, 2026 - Jupyter Notebook
A stainer translates HE stained slices to IHC stained slices. A solution for Breast Cancer Immunohistochemical Image Generation Challenge.
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Jan 5, 2024 - Python
[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation
pytorch generative-models diffusion-models conditional-generation score-matching score-based-generative-modeling score-based-generative-models denoising-score-matching dlsm classifier-guidance
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Dec 13, 2023 - Python
PyTorch implementation of Dhariwal and Nichol (2021) and training it on CIFAR-10
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Sep 30, 2024 - Python
Official implementation of "Adaptive Moments Are Surprisingly Effective for Plug-and-Play Diffusion Sampling" (ICLR 2026)
super-resolution inverse-problems inpainting image-restoration deblurring generative-models diffusion-models guided-diffusion classifier-guidance iclr2026
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Aug 12, 2026 - Python
Extensions of DiGress for molecular graph generation with logical constraints, focusing on Lipinski’s Rule of Five.
drug-discovery graph-generation generative-models diffusion-models logical-constraints graph-transformer molecular-generation cardinality-constraints classifier-guidance lipinski-rule probabilistic-symbolic
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Nov 11, 2025 - Python
Tests whether minority guidance (Um et al., 2024) is timestep-localized in diffusion denoising. Selected to EEML 2026.
diffusion-models ablation-study ddpm guided-diffusion classifier-guidance minority-guidance lsun-bedroom timestep-localization eeml-2026
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Jun 4, 2026 - TeX
2024 experiments in conditional diffusion for distributional regression: EDM, classifier and classifier-free guidance. Built on lucidrains/denoising-diffusion-pytorch.
pytorch distributional-regression diffusion-models conditional-generation generative-modeling denoising-diffusion ddpm classifier-free-guidance classifier-guidance research-code elucidated-diffusion
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Sep 30, 2026 - Python
Practicing deep learning
machine-learning deep-learning time-series neural-network pytorch stochastic-differential-equations diffusion-models score-based-models generative-ai classifier-guidance vp-sde
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May 7, 2026 - Jupyter Notebook
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