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Yongsong.H's Projects

r2c icon r2c

Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)

rcan icon rcan

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

readme icon readme

README文件语法解读,即Github Flavored Markdown语法介绍

real-esrgan icon real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

resume icon resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

sceneclassification icon sceneclassification

This project is to use deep learning to auto classify the scene images with limited amount of training images.

semstyle icon semstyle

Code for learning to generate stylized image captions from unaligned text

sg2im icon sg2im

Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 2018

show-attend-and-tell icon show-attend-and-tell

A PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

show-control-and-tell icon show-control-and-tell

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions. CVPR 2019

simgnn icon simgnn

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

sknet icon sknet

Code for our CVPR 2019 paper: Selective Kernel Networks; See zhihu:https://zhuanlan.zhihu.com/p/59690223

sknet-1 icon sknet-1

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

spsr icon spsr

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)

srgan icon srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

srgan-1 icon srgan-1

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

srgan-w icon srgan-w

A PyTorch implementation of SRGAN specific for Anime Super Resolution based on "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network". And another PyTorch WGAN-gp implementation of SRGAN referring to "Improved Training of Wasserstein GANs".

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