Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

Official PyTorch implementation of our AAAI22 paper: TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework via Self-Supervised Multi-Task Learning.

HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset (ICCV 2021)

The re-implementation of ICCV 2017 DeepFuse paper idea

Python code and data for "Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging"

Official implementation of PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map (IEEE ICASSP 2022)

This is a PyTorch/GPU implementation of the Information Fusion 2022 paper: Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning.:

Ghost-free multi exposure image fusion technique using dense SIFT descriptor and guided filter.

Official Implementation of Multi-Exposure Image Fusion based on Linear Embeddings and Watershed Masking

Source code of Ghosting-free multi-exposure image fusion for static and dynamic scenes (Elsevier's Signal Processing)

Official code of Image Fusion Through Linear Embeddings (IEEE ICIP 21)

Fast lightweight physical informed multi-exposure fusion model.

Official Implementation of Multi-Exposure Image Fusion based on Linear Embeddings and Watershed Masking