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• Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  • https://github.com/Sohl-Dickstein/Diffusion-Probabilistic-Models
• Denoising Diffusion Probabilistic Models
  • https://github.com/hojonathanho/diffusion
  • https://github.com/lucidrains/denoising-diffusion-pytorch
• Denoising Diffusion Implicit Models
  • https://github.com/ermongroup/ddim
• Improved Denoising Diffusion Probabilistic Models
  • https://github.com/openai/improved-diffusion
• Diffusion Models Beat GANs on Image Synthesis
  • https://github.com/openai/guided-diffusion
• High-Resolution Image Synthesis with Latent Diffusion Models
  • https://github.com/CompVis/stable-diffusion
• Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
  • https://github.com/compvis/latent-diffusion

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  • https://github.com/milesial/Pytorch-UNet
• Auto-Encoding Variational Bayes
  • https://github.com/AntixK/PyTorch-VAE
• Neural Discrete Representation Learning
  • https://github.com/deepmind/sonnet/blob/v2/sonnet/src/nets/vqvae.py
• Learning Transferable Visual Models From Natural Language Supervision
  • https://github.com/openai/CLIP
• Score-Based Generative Modeling through Stochastic Differential Equations
  • https://github.com/yang-song/score_sde

• labml.ai Deep Learning Paper Implementations
  • https://github.com/labmlai/annotated_deep_learning_paper_implementations
• https://github.com/acids-ircam/diffusion_models
• https://yang-song.net/blog/2021/score/