[ICML 2024 & TPAMI 2026] EvTexture & EvTexture++: Event-Driven Texture Enhancement for Video Super-Resolution

Android Camera that uses Enhanced image processing

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

🤖🖌️ Generate photo-realistic textures based on source images or (soon) PBR materials. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Official repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

CVPR 2025 DarkIR: Robust Low-Light Image Restoration - State of the art low light deblurring. NTIRE 2025 Best Method. [Official PyTorch Implementation]

Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"

Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"

Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

Handheld Multi-image Super-resolution [Wronski et al., SIGGRAPH19]. Non-official GPU-supported Python implementation.

This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)

A curated list of awesome resources for topics related to computational photography via deep learning, which mainly focuses on image alignment and stitching.

Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017

[ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)

Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)

Multiframe Image Deconvolution (ICCV17)

🌕 [AAAI 2024] Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption (Low-light enhance / Exposure correction + NeRF)

Exposure Fusion Technique

📷 [ECCV 2024] RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images

PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks (TPAMI 2021).

Interactive light field renderer using dynamically reparameterized light fields.

🌕 [CVPR 2025] Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment

Corrects perspective aberrations in wide-angle portraits. Implementation of the paper "Distortion-Free Wide-Angle Portraits on Camera Phones". Course project for 15-663 Computational Photography.

ACMMM'24 An End-to-End Real-World Camera Imaging Pipeline

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.