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/aiot-mlsys-lab/efficient-diffusion-model-survey
[TMLR 2025] Efficient Diffusion Models: A Survey
iterative-smoothing-bridge
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
https://github.com/aqlaboratory/genie
De Novo Protein Design by Equivariantly Diffusing Oriented Residue Clouds
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"
dlsm-toy
[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation
https://github.com/adicksonlab/agdiff
Implementation of AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction
https://github.com/jonathancrabbe/fourierdiffusion
This repository implements time series diffusion in the frequency domain.
diffusion-models_master
This repository contains the code derived from the writing of the master thesis project on mammographic image generation using diffusion models.
diffefwi
Official repository for the "Learned regularizations for multi-parameter elastic full waveform inversion using diffusion models" paper.
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/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/bytedance/x-dyna
[ArXiv 2024] X-Dyna: Expressive Dynamic Human Image Animation
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
diffgan-tts
PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs
https://github.com/alawryaguila/conddiff
Pytorch code for "Conditional diffusion models for guided anomaly detection in brain MRI using fluid-driven anomaly randomization"
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
https://github.com/bytedance/superedit
[ICCV 2025] Official repo for: SuperEdit - Rectifying and Facilitating Supervision for Instruction-Based Image Editing
https://github.com/ai4healthuol/sssd-ecg
Repository for the paper: 'Diffusion-based Conditional ECG Generation with Structured State Space Models'
awesome-controllable-t2i-diffusion-models
A collection of resources on controllable generation with text-to-image diffusion models.
https://github.com/cyberagentailab/layout-dm
[CVPR 2023] LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
segmentation-guided-diffusion
[MICCAI 2024] Easy diffusion models (optionally with segmentation guidance) for medical images and beyond.
https://github.com/carlosholivan/audiogenerationdiffusion
State-of-the-art of Audio Generation with Diffusion Models
minimal-text-diffusion
A minimal implementation of diffusion models for text generation
https://github.com/bytedance/latentunfold
Implementation of paper: Flux Already Knows – Activating Subject-Driven Image Generation without Training
https://github.com/ai4healthuol/sssd
Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
deepinv
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
qcsbm
[ICML 2023] On Investigating the Conservative Property of Score-Based Generative Models
dlsm
[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation
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/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".
https://github.com/bit-bots/soccerdiffusion
Learning End-to-End Humanoid Robot Soccer from Gameplay Recordings
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
https://github.com/ai4healthuol/causalconceptts
Repository for the paper 'CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models'.