There are 8 repositories under hdr-image topic.
Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus
[SIGGRAPH Asia 2022] Text2Light: Zero-Shot Text-Driven HDR Panorama Generation
HDR image reconstruction from a single exposure using deep CNNs
High-quality pro HDR image resizing / scaling C++ library, including a very fast, precise, SIMD Lanczos resizer (header-only C++)
"HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting" (NeurIPS 2024)
Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)
The hottest High Dynamic Range (HDR) Library
Creating HDR image from image stack with multiple exposures
HDRI / Radiance image processing algorithms for Python
A Javascript (TypeScript) Port of Adobe Gainmap Technology for storing HDR Images using an SDR Image + a gainmap
An implementation of "Paul E. Debevec, Jitendra Malik, Recovering High Dynamic Range Radiance Maps from Photographs, SIGGRAPH 1997."
A sophisticated scientific image viewer for Linux with OpenGL support and synchronized viewports
HDR is a library that handles RAW image format written with Golang
Official Implementation of BMVC 2024 paper titled "HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images"
Implements a new 'playblast' command that uses OpenImageIO (OIIO) to process and write image data.
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 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
An implementation of HDR Radiance Estimation using Poisson Photon Noise Estimator for creating HDR image from a set of images
PyTorch re-implementation of TIP'20 paper: Deep HDR Imaging via a Non-Local Network
This is the released code for the following paper: "Semi-global weighted least squares in image filtering.", Wei Liu, Xiaogang Chen, Chuanhua Shen, Zhi Liu, and Jie Yang. In ICCV 2017.
A Python Re-implementation of the paper "Recovering High Dynamic Range Radiance Maps from Photographs"
Single Core and Multi Core (CPU and GPU) versions of Buddhabrot
Implimentation of Enhanced Local Tone Mapping (ELTM) TMO to convert high dynamic range (HDR) images to low dynamic range (LDR) images.
Enhancing low light images by bracketing low light image to generate HDR image
High Dynamic Range imaging with Altera DE2-115.
Image Reader using OpenImageIO (OIIO) library plug-in for Autodesk Maya.
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"
This repository has been deprecated. HDR Image Production using Exposure Fusion ( Android - RenderScript )