A simple research-oriented image viewer with an emphasis on examining and comparing high-dynamic range (HDR) images.
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Updated
Aug 10, 2026 - C++
A simple research-oriented image viewer with an emphasis on examining and comparing high-dynamic range (HDR) images.
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
A collection of HDR imaging papers.
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18)
Official implementation of IEEE T-RO 2024 paper: "CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization"
Fake HDR Effect. Single Image HDR. HDR Filter.
PyTorch re-implementation of ECCV'18 paper: Deep High Dynamic Range Imaging with Large Foreground Motions
CNN-Based Image Reconstruction Method for Ultrafast Ultrasound Imaging
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
[CVPR 2026] Physically Inspired Gaussian Splatting for HDR Novel View Synthesis
This is a python project to implement HDR imaging process with jupyter notebook.
On solutions to the problem of Event Collapse in Motion Compensation frameworks
⚡ Multi-color Holograms Improve Brightness in Holographic Displays
Learning to Remove Lens Flare in Event Camera
Reference implementation of generalized orders of magnitude, as proposed in "Generalized Orders of Magnitude for Scalable, Parallel, High-Dynamic-Range Computation" (Heinsen and Kozachkov, 2025).
NeurIPS 2020 paper: UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging
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