Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for deep learning shadow removal
deep-learning
x
shadow-removal
x
8 search results found
Daclip Uir
⭐
441
PyTorch code for "Controlling Vision-Language Models for Universal Image Restoration", ICLR 2024.
Ghost Free Shadow Removal
⭐
260
[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN
Dc Shadownet Hard And Soft Shadow Removal
⭐
183
[ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434
Awesome Shadow Removal
⭐
100
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
⭐
55
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.
St Cgan
⭐
47
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Imageenhancement
⭐
16
Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.
St Cgan
⭐
12
Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Related Searches
Python Deep Learning (17,892)
Jupyter Notebook Deep Learning (10,328)
Deep Learning Neural Network (5,801)
Deep Learning Pytorch (5,383)
Deep Learning Tensorflow (4,442)
Deep Learning Convolutional Neural Networks (4,142)
Deep Learning Neural (3,734)
Network Deep Learning (3,532)
Deep Learning Keras (3,258)
Deep Learning Computer Vision (3,123)
1-8 of 8 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.