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
https://github.com/alan-turing-institute/robots-in-disguise
Information and materials for the Turing's "robots-in-disguise" reading group on fundamental AI research.
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
brushedit
[TPAMI under review] The official implementation of paper "BrushEdit: All-In-One Image Inpainting and Editing"
dnadiffusion
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
evolutionary-diffusion
Applying Evolutionary Computing to Embeddings of Diffusion Models
dilightnet
Official Code Release for [SIGGRAPH 2024] DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
adaptivediffusion
[NeurIPS'24] Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
https://github.com/compvis/fm-boosting
FMBoost: Boosting Latent Diffusion with Flow Matching (ECCV 2024 Oral)
https://github.com/aim-uofa/oir
[ICLR 2024] Official PyTorch/Diffusers implementation of "Object-aware Inversion and Reassembly for Image Editing"
https://github.com/bytedance/x-dyna
[ArXiv 2024] X-Dyna: Expressive Dynamic Human Image Animation
https://github.com/adicksonlab/agdiff
Implementation of AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction
diffefwi
Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.
https://github.com/alawryaguila/conddiff
Pytorch code for "Conditional diffusion models for guided anomaly detection in brain MRI using fluid-driven anomaly randomization"
https://github.com/amazon-science/text_generation_diffusion_llm_topic
Topic Embedding, Text Generation and Modeling using diffusion
https://github.com/amazon-science/unconditional-time-series-diffusion
Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"
https://github.com/aiot-mlsys-lab/efficient-diffusion-model-survey
[TMLR 2025] Efficient Diffusion Models: A Survey
https://github.com/ai4healthuol/sssd-ecg
Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'
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
minimal-text-diffusion
A minimal implementation of diffusion models for text generation
awesome-robotics-3d
A curated list of 3D Vision papers relating to Robotics domain in the era of large models i.e. LLMs/VLMs, inspired by awesome-computer-vision, including papers, codes, and related websites
diffusion-models_master
This repository contains the code derived from the writing of the master thesis project on mammographic image generation using diffusion models.
diffgan-tts
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
https://github.com/ai4healthuol/causalconceptts
Repository for the paper 'CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models'.
deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
https://github.com/ai4healthuol/sssd
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
iterative-smoothing-bridge
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
awesome-controllable-t2i-diffusion-models
A collection of resources on controllable generation with text-to-image diffusion models.
https://github.com/aqlaboratory/genie
De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
segmentation-guided-diffusion
[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
https://github.com/astrazeneca/diffabxl
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
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).
https://github.com/bit-bots/soccerdiffusion
Learning End-to-End Humanoid Robot Soccer from Gameplay Recordings
https://github.com/carlosholivan/audiogenerationdiffusion
State-of-the-art of Audio Generation with Diffusion Models
https://github.com/bytedance/latentunfold
Implementation of paper: Flux Already Knows – Activating Subject-Driven Image Generation without Training
https://github.com/bytedance/id-patch
Official implementation of CVPR 2025 paper "ID-Patch: Robust ID Association for Group Photo Personalization". This work proposed propose ID-Patch, a fast and robust method that links identity features to 2D positions via visual patches and embeddings.
https://github.com/cgcl-codes/eclipse
This is the official code for the ESORICS 2024 paper "ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification"
https://github.com/jonathancrabbe/fourierdiffusion
This repository implements time series diffusion in the frequency domain.
mmgeneration
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
https://github.com/aaltoml/free-hunch
Official code for Free Hunch: Denoiser Covariance Estimation for Diffusion Models Without Extra Costs
diffbev
Official PyTorch implementation for a conditional diffusion probability model in BEV perception
modular-diffusion
Python library for designing and training your own Diffusion Models with PyTorch
https://github.com/bytedance/superedit
[ICCV 2025] Official repo for: SuperEdit - Rectifying and Facilitating Supervision for Instruction-Based Image Editing
https://github.com/cyberagentailab/layout-dm
[CVPR 2023] LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
dlsm
[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation