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IDDM (Industrial, landscape, animate...), support DDPM, DDIM, PLMS, webui and multi-GPU distributed training. Pytorch实现，生成模型，扩散模型，分布式训练
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
Conditional Mutual Informaation Neural Estimator
[IEEE CISS 2024, ICMLW 2023] Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
[ICCV 2023 Oral] Official Implementation of "Denoising Diffusion Autoencoders are Unified Self-supervised Learners"
PyTorch implementations of Generative Adversarial Networks.
Official repo for "Solving Inverse Problems in Medical Imaging with Score-Based Generative Models"
Official implementation of Cold-Diffusion for different transformations in pytorch.
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[ICLR2023] Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
❄️ Score-Based Point Cloud Denoising (ICCV 2021)
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
This code package generates random tensors with user specified marginal means and covariances from one of two optional distributions. The first is the maximum-entropy-distribution with the specifie…
Notebooks using the Hugging Face libraries 🤗
Materials for the Hugging Face Diffusion Models Course
Mutual Information Neural Estimation in Pytorch
Project for the Large Scale Optimization course at Skoltech
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
PyTorch Tutorial for Deep Learning Researchers
Release for Improved Denoising Diffusion Probabilistic Models