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Residual Feature Aggregation Network for Image Super-Resolution
One-paper-one-short-contribution-summary of all latest image/burst/video Denoising papers with code & citation published in top conference and journal.
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Collect super-resolution related papers, data, repositories
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR…
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Collect super-resolution related papers, data, repositories
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Updated Jun 13, 2019
kaggle competition: Dogs_vs_Cats_PyTorch Presentation（Getting started with PyTorch）
Classifying cat and dog images using Kaggle dataset
Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)
VDSR (CVPR2016) pytorch implementation