Creating HDR image from image stack with multiple exposures

🎞️ flim - Filmic Color Transform

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

[CVPR2024 Highlight Poster] Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping

[ECAI 2023 Oral] Official Implementation of High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation

UW-Madison CS766 course project

Source code for "Detail Restoration and Tone Mapping Networks for X-Ray Security Inspection."

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

[MWSCAS 2023] LTM-GAN: A Light-Weight Generative Adversarial Net for Tone Mapping

[IMAGE24] Contrastive learning for deep tone mapping operator

HDR imaging handles real-world lighting better than LDR, which struggles with high dynamic range. This method uses Convolutional Neural Networks to generate HDR images from LDR ones by reconstructing lost details through learned features, trained on an HDR image dataset.

blim - Bean's Unprofessional View Transform

This technique extends on existing tone mapping algorithms by making the brightest areas emit a glow. To do this, the bloom shader effect is used. We take the image with the lowest exposure value, and perform convolution on it with a given kernel.

Digital_Visual_Effects Project 1 @ntu CSIE

High Dynamic Range Imaging