HDR image reconstruction from a single exposure using deep CNNs

Creating HDR image from image stack with multiple exposures

This is the official implementation of Two-stage LDR to HDR Image Reconstruction from CVPRW21. This repo also hosts the LDR52 dataset, which has introduces in the paper.

A simple HDR image merger that converts multiple RAW files into a single HDR image.

3DV 2024: Fast High Dynamic Range Radiance Fields for Dynamic Scenes

A no-reference version of HDR-VDP using deep-learning

Official Implementation of BMVC 2024 paper titled "HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images"

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

PyTorch re-implementation of TIP'20 paper: Deep HDR Imaging via a Non-Local Network

UW-Madison CS766 course project

A Python Re-implementation of the paper "Recovering High Dynamic Range Radiance Maps from Photographs"

Enhancing low light images by bracketing low light image to generate HDR image

Model-Agnostic Meta-Learning for HDR Image Reconstruction. By learning the common structure between all LDR-to-HDR conversion tasks, our model is able to adapt it's predictions given extra exposures of a scene. This novel approach reframes LDR-to-HDR conversion as a meta-learning problem.

Reconstruction of images making them HDR using deep learning

[TMM 2023] Official Implementation of "Bidirectional Translation Between UHD-HDR and HD-SDR Videos"

High Dynamic Range Image Synthesis via Attention Non-Local Network

✏️ My homeworks of NTU CSIE 7694 Digital Visual Effects [2019 spring] (by Prof. CYY)

Using OpenCV's Bioinspired Module Retina to enhance low(er) quality photos from e.g. an old compact camera.

HDRLib: A Handy Toolbox to Construct High Dynamic Range Image from Multiple Low Dynamic Range Images

Python version implementation of Enhanced Local Tone Mapping (ELTM) TMO.