There are 17 repositories under shadow-removal topic.
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
[IJCNN 2023 Oral]: SpA-Former:An Effective and Lightweight Transformer for Image Shadow Removal
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
[ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434
[ICCV 2023] A large-scale high-resolution dataset satisfies all important data features about document shadow, covers a large number of document shadow images.
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.
[AAAI 2022] The first dataset on foreground object shadow generation for image composition in real-world scenes. The code used in our paper "Shadow Generation for Composite Image in Real-world Scenes", AAAI2022. Useful for shadow generation, shadow removal, image composition, etc.
Mask-ShadowGAN: Learning to Remove Shadows from Unpaired Data | ICCV 2019
ShadowFormer (AAAI2023), Pytorch implementation
Code for paper: Memory Augment is All Your Need for image restoration(cloud,rain,shadow removal, low-light image enhancement, image deblur)即插即用提点的记忆模块
Official implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Unofficial implementation of ''Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal'' with PyTorch
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
Unofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch
MATLAB implementation of the paper "A New Shadow Removal Method using Color-Lines", CAIP 2017
A Survey on Image and Video Shadow Detection, Removal, and Generation in the Era of Deep Learning (Awesome & Benchmark)
Code for CGI 2019 paper --- Effective Shadow Removal via Multi-scale Image Decomposition.
This is the official PyTorch implementation of ShadowRefiner. Our method is winner of Perceptual Track and achieves the second-best performance for Fidelity Track in NTIRE 2024 Shadow Removal Challenge (CVPR 2024 Workshop)
ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀
Official Github repository for "Blind Removal of Facial Foreign Shadows", accepted to BMVC 2022.
This is the companion software for the paper "Anisotropic osmosis filtering for shadow removal in images".
[ICASSP 2023] ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Analyzing Conditional Adversarial Networks to solve image recovery problems like shadow recovery, denoising and deblurring - CVIP 2019
SAM-helps-shadow:When segment anything model meet shadow removal
Official implementation of "Learning to Remove Shadows from a Single Image"(Self-ShadowGAN)