A summary of related works about flow matching, stochastic interpolants

Code from various chapters in OSTEP (http://www.ostep.org)

Unofficial implementation of MUSIQ (Multi-Scale Image Quality Transformer)

[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images

[CVPRW 2022] MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessment

code based for rectified flow

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Awesome resources on normalizing flows.

Python code for "Probabilistic Machine learning" book by Kevin Murphy

A Repository for Diffusion-Model-related Papers in Low-level Vision

Arbitrary-scale image super-resolution (ISR) and video super-resolution (VSR)

Arbitrary-steps Image Super-resolution via Diffusion Inversion (CVPR 2025)

Official implementation for Diffusion Alignment as Sampling (DAS), ICLR'25, Spotlight

Code for NeurIPS 2024 paper - The GAN is dead; long live the GAN! A Modern Baseline GAN - by Huang et al.

Maximize the Resolution Potential of Pre-trained Rectified Flow Transformers

OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs

"SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow", Yuanzhi Zhu, Xingchao Liu, Qiang Liu

Official Implementation of Rectified Flow (ICLR2023 Spotlight)

collection of diffusion model papers categorized by their subareas

MulimgViewer is a multi-image viewer that can open multiple images in one interface, which is convenient for image comparison and image stitching.

[CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

"Denoising Diffusion Models for Plug-and-Play Image Restoration", Yuanzhi Zhu, Kai Zhang, Jingyun Liang, Jiezhang Cao, Bihan Wen, Radu Timofte, Luc Van Gool.

Official Implementation (Pytorch) of "DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems", ECCV 2024 Oral paper

Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

PyTorch codes for "Iterative Token Evaluation and Refinement for Real-World Super-Resolution", AAAI 2024

A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs

[ECCV 2024] Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration