CXH-Research

DocShadow-SD7K

[ICCV 2023] A large-scale high-resolution dataset satisfies all important data features about document shadow, covers a large number of document shadow images.

Underwater-Image-Enhancement

Summary of Publicly Available Underwater Image Enhancement Method

FilmNet

[IJCAI 2023] A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement

DeVigNet

[AAAI 2024] Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer With Adaptive Channel Expansion

IRFormer

[IJCNN 2024] Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model

Highlight-Removal

Summary of Publicly Available Highlight Removal Method

ShadocNet

[ICASSP 2023] ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal

Pytorch-UW-IQA

Non-Reference IQA implementation in Pytorch CUDA, UCIQE, UIQM, ...

Shadow-Generation

Methods to generate shadows in images

DHAN-SHR

[ACM MM 2024] Dual-Hybrid Attention Network for Specular Highlight Removal

Low-level-NAS

Neural Architecture Search for Low-level Vision

Depth-Map-and-Transmission-Map-Generation

Generate depth map and transmission map for underwater image enhancement

Document_Enhancement

A collection of document enhancement methods.

.github

Academic-project-page-template

A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

U-Net

A baseline U-Net model for study

Vignetting-Generation

Methods to generate vignetting in images

STE-Net

UIE-UnFold

[DSAA 2024] UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement