CrissyHoo/ECL
The code of ECL: Exclusive Curriculum Learning for Video Super-Resolution.
Work hard, play hard.
The code of ECL: Exclusive Curriculum Learning for Video Super-Resolution.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
homepage
深度学习经典、新论文逐段精读
A quickstart and benchmark for pytorch distributed training.
Code for paper "Video Super-Resolution with Recurrent Structure-Detail Network" . The code is under preparation and is coming soon.
技术面试最后反问面试官的话
A unofficial implementation of paper method that 'Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution'
Self-Supervised Multi-Frame Monocular Scene Flow (CVPR 2021)
the notes when reading paper
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations
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 and this repo is a mirror of BasicSR.
Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)
Gated Fusion Network for Joint Image Deblurring and Super-Resolution(BMVC 2018 Oral)
Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)
Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (PyTorch) - We released the testing code!
the notes when learning CS231n
CVPR 2021 论文和开源项目合集
Pseudo-3D Convolutional Residual Networks for Video Representation Learning
:memo: 武汉大学毕业论文 LaTeX 模版 2021
Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Infographic
PyTorch Tutorial for Deep Learning Researchers