shadow-removal
There are 16 repositories under shadow-removal topic.
Algolzw / daclip-uir
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
Language:Python 545vinthony / ghost-free-shadow-removal
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Language:Jupyter Notebook 282zhangbaijin / SpA-Former-shadow-removal
[IJCNN 2023 Oral]: SpA-Former:An Effective and Lightweight Transformer for Image Shadow Removal
Language:Python 249jinyeying / DC-ShadowNet-Hard-and-Soft-Shadow-Removal
[ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434
Language:Python 197CXH-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.
Language:Python 190GuoLanqing / Awesome-Shadow-Removal
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
- Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision
Ujwal2910 / Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision
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.
Language:Python 176 bcmi / Object-Shadow-Generation-Dataset-DESOBA
[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.
Language:Python 153ShadowFormer (AAAI2023), Pytorch implementation
Language:Python 119Code 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
Language:Python 114JunlinHan / BID
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
Language:Python 111cvlab-stonybrook / SID
Official implementation for ICCV19 "Shadow Removal via Shadow Image Decomposition"
Language:Jupyter Notebook 91naoto0804 / SynShadow
Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue and Yamasaki, IEEE TCSVT 2021].
Language:Python 81DeepInsight-PCALab / ST-CGAN
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
wkhademi / ImageEnhancement
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
Language:Python 63IsHYuhi / ST-CGAN_Stacked_Conditional_Generative_Adversarial_Networks
Unofficial implementation of ''Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal'' with PyTorch
Language:Python 59Unofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch
Language:Jupyter Notebook 46Xiaoming-Yu / ShadowRemoval
MATLAB implementation of the paper "A New Shadow Removal Method using Color-Lines", CAIP 2017
Language:MATLAB 28yanqingan / multiscale-deshadow
Code for CGI 2019 paper --- Effective Shadow Removal via Multi-scale Image Decomposition.
Language:C++ 20fabio-sim / DocShadow-ONNX-TensorRT
ONNX-compatible DocShadow: High-Resolution Document Shadow Removal. Supports TensorRT 🚀
Language:Python 17andrewhou1 / BlindShadowRemoval
Official Github repository for "Blind Removal of Facial Foreign Shadows", accepted to BMVC 2022.
Language:Python 12- Language:Python 12
simoneparisotto / anisotropic-osmosis-filter
This is the companion software for the paper "Anisotropic osmosis filtering for shadow removal in images".
Language:MATLAB 11[ICASSP 2023] ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
Language:Python 10jeya-maria-jose / Image-Recovery-Using-Conditional-Adversarial-Networks
Analyzing Conditional Adversarial Networks to solve image recovery problems like shadow recovery, denoising and deblurring - CVIP 2019
Language:Python 10SAM-helps-shadow:When segment anything model meet shadow removal
ryo-abiko / CANet
Repo of "Channel Attention GAN Trained with Enhanced Images for Single Image Shadow Removal"
Language:Python 8chao-tan / TC-GAN
Unsupervised Shadow Removal using Target Consistency Generative Adversarial Network
Language:Python 7saswat0 / ST-CGAN
Unofficial Implementation of Stacked Conditional Generative Adversarial Networks (ST-CGAN) for Jointly Learning Shadow Detection and Shadow Removal in PyTorch
Language:Python 5venkai / deploy_core3d
Dockerized Modules for Shadow-Removal, RGB/RGBD Inpainting, MSI2RGB and Joint Semantic Segmentation/ Single-View DHM estimation on satellite imagery
Language:Python 5- Language:Jupyter Notebook 4
CV-Reimplementation / DHAN-reimplementation
Pytorch implementation of "Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN"
Language:Python 3jo-valer / tesseract-ocr-enhanced
Preprocessing methods to enhance Tesseract-OCR in the case of printed text on difficult background, or handwritten text on lined/squared paper.
Language:Jupyter Notebook 2kilito777 / ShaDocFormer
[IJCNN 2024] A Transformer-based architecture that is good at detecting and capturing shadow and lighting changes, enabling effective shadow removal.
Language:Python 2
