mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
brushnet
[ECCV 2024] The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"
ccsd
Combinatorial Complex Score-based Diffusion model using stochastic differential equations
zigma
A PyTorch implementation of the paper "ZigMa: A DiT-Style Mamba-based Diffusion Model" (ECCV 2024)
rho-diffusion
Parameterizing n-dimensional density fields using denoising diffusion probabilistic models
evolutionary-diffusion
Applying Evolutionary Computing to Embeddings of Diffusion Models
deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
iterative-smoothing-bridge
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
dlsm-toy
[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation
qcsbm
[ICML 2023] On Investigating the Conservative Property of Score-Based Generative Models
segmentation-guided-diffusion
[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
tsde
TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative dual-orthogonal Transformer encoder architecture with a crossover mechanism, and employing a unique IIF mask strategy (KDD 2024, main research track).
mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
diffusion-models_master
This repository contains the code derived from the writing of the master thesis project on mammographic image generation using diffusion models.
minimal-text-diffusion
A minimal implementation of diffusion models for text generation
dlsm
[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation
awesome-controllable-t2i-diffusion-models
A collection of resources on controllable generation with text-to-image diffusion models.
modular-diffusion
Python library for designing and training your own Diffusion Models with PyTorch
diffbev
Official PyTorch implementation for a conditional diffusion probability model in BEV perception