denoising-diffusion - 技术专题

Audio generation using diffusion models, in PyTorch.

Implementation of Alphafold 3 from Google Deepmind in Pytorch

Using Diffusion Models to Segment/Reconstruct Organs from Medical Images [AAAI Most influential Paper]

Implementation of Denoising Diffusion Probabilistic Models in PyTorch

Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch

Implementation of Lumiere, SOTA text-to-video generation from Google Deepmind, in Pytorch

[ICCV 2023 Oral] Official implementation for "DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion."

🚀 PyTorch Implementation of "Progressive Distillation for Fast Sampling of Diffusion Models(v-diffusion)"

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch

Implementation of Chroma, generative models of protein using DDPM and GNNs, in Pytorch

Implement a MNIST(also minimal) version of denoising diffusion probabilistic model from scratch.The model only has 4.55MB.

Implementation of Diffusion Policy, Toyota Research's supposed breakthrough in leveraging DDPMs for learning policies for real-world Robotics

Trainer for audio-diffusion-pytorch

Implementation of a multimodal diffusion transformer in Pytorch

Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)

Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models"

[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"

Implementation of the video diffusion model and training scheme presented in the paper, Flexible Diffusion Modeling of Long Videos, in Pytorch