Flask app to implement shadow removal using ST-CGAN
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Updated
Dec 11, 2020 - CSS
Flask app to implement shadow removal using ST-CGAN
A system that is capable of detecting and segmenting objects from video frames which helps in traffic surveillance.
Shadow Removal on ISTD Dataset
DeshadowNet: A Multi-Context Embedding Deep Network for Shadow Removal
A Matlab implementation of the osmosis filtering for shadow removal and seamless cloning
This is the companion software for the paper "Fast and stable schemes for non-linear osmosis filtering".
PyTorch implementation of "Mask-ShadowNet: Towards Shadow Removal via Masked Adaptive Instance Normalization".
[ICME 2022] Shadow Removal Through Learning-based Region Matching And Mapping Function Optimization
Preprocessing methods to enhance Tesseract-OCR in the case of printed text on difficult background, or handwritten text on lined/squared paper.
Pytorch implementation of "Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN"
[IJCNN 2024] A Transformer-based architecture that is good at detecting and capturing shadow and lighting changes, enabling effective shadow removal.
Unofficial Implementation of Stacked Conditional Generative Adversarial Networks (ST-CGAN) for Jointly Learning Shadow Detection and Shadow Removal in PyTorch
Dockerized Modules for Shadow-Removal, RGB/RGBD Inpainting, MSI2RGB and Joint Semantic Segmentation/ Single-View DHM estimation on satellite imagery
Unsupervised Shadow Removal using Target Consistency Generative Adversarial Network
Repo of "Channel Attention GAN Trained with Enhanced Images for Single Image 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
[ICASSP 2023] ShaDocNet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal
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