A unified framework for easy reinforcement learning in Flow-Matching models

A fully automated, intelligent photo-editing agent that autonomously plans multi-step aesthetic enhancements, smartly chooses diverse editing tools, and enables everyday users to achieve profession…

Learning Compressed Representation of 3DLUT for Image-enhancement. Higher performance with much smaller models! ☺️

[AAAI2025] This is the official PyTorch codes for the paper: "DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts"

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Fully Fused Differentiable Bilateral Grid

Fine-tune VAE of Stable Diffusion model

[NeurIPS 2025] An official implementation of Flow-GRPO: Training Flow Matching Models via Online RL

Enjoy the magic of Diffusion models!

High dynamic range (HDR) image viewer for people who care about colors

A curated list of foundation models for vision and language tasks in medical imaging

[NeurIPS 2024] Goal Conditioned Reinforcement Learning for Photo Finishing Tuning

S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion

[SIGGRAPH Asia 2025] 4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture

A general fine-tuning kit geared toward image/video/audio diffusion models.

[WACV'25 Oral] Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

[CVPR 2025 Highlight] UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion

Code accompanying the paper "Spectral Sensitivity Estimation Without a Camera" by Solomatov & Akkaynak (ICCP 2023)

Wan: Open and Advanced Large-Scale Video Generative Models

Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring. IEEE TIP, 2024

[ECCV2024] DualDn: Dual-domain Denoising via Differentiable ISP. • State-of-the-art for real-image denoising • Strong performance & generalization

The gphoto2 commandline tool for accessing and controlling digital cameras.

[NeurIPS2024] AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection

Implementation of the non-parametric census transform as PyTorch layer.

Attention-guided Network for Ghost-free High Dynamic Range Imaging

Pytorch implementation of ADNet. (The winning method of the first edition of NTIRE2021 Multi-Frame HDR Challenge)

PyTorch re-implementation of ECCV'18 paper: Deep High Dynamic Range Imaging with Large Foreground Motions