Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
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Updated
Apr 17, 2018
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
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.
This is the companion software for the paper "Anisotropic osmosis filtering for shadow removal in images".
Code for CGI 2019 paper --- Effective Shadow Removal via Multi-scale Image Decomposition.
MATLAB implementation of the paper "A New Shadow Removal Method using Color-Lines", CAIP 2017
Dockerized Modules for Shadow-Removal, RGB/RGBD Inpainting, MSI2RGB and Joint Semantic Segmentation/ Single-View DHM estimation on satellite imagery
Analyzing Conditional Adversarial Networks to solve image recovery problems like shadow recovery, denoising and deblurring - CVIP 2019
A Matlab implementation of the osmosis filtering for shadow removal and seamless cloning
Unofficial implementation of ''Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal'' with PyTorch
Official repository for the ECCV20 paper: " From Shadow Segmentation to Shadow Removal"
Unofficial Implementation of Stacked Conditional Generative Adversarial Networks (ST-CGAN) for Jointly Learning Shadow Detection and Shadow Removal in PyTorch
Flask app to implement shadow removal using ST-CGAN
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
A system that is capable of detecting and segmenting objects from video frames which helps in traffic surveillance.
PyTorch implementation of "Mask-ShadowNet: Towards Shadow Removal via Masked Adaptive Instance Normalization".
Unsupervised Shadow Removal using Target Consistency Generative Adversarial Network
Unofficial implementation of ''BEDSR-Net: A Deep Shadow Removal from a Single Document Image'' with PyTorch
Shadow Removal on ISTD Dataset
Repo of "Channel Attention GAN Trained with Enhanced Images for Single Image Shadow Removal"
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