computational-photography

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]

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"

Motion Cam is a camera application for Android that replaces the entire camera pipeline. It consumes RAW images and uses computational photography to combine multiple images to reduce noise.

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.

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

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

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

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

[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)