HDR image reconstruction from a single exposure using deep CNNs

"HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting" (NeurIPS 2024)

Creating HDR image from image stack with multiple exposures

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

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.

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

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

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

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

UW-Madison CS766 course project

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

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

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.

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

Reconstruction of images making them HDR using deep learning

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.

Generate HDR images in ComfyUI