[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
A Collection of Algorithms and Datasets for Stereo Image Super-Resolution
Source code for our paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"
[CVPRW 2021] Symmetric Parallax Attention for Stereo Image Super-Resolution
Repository for "A Stereo Attention Module for Stereo Image Super-Resolution ", SPL, 2020
[ICCVW 2019] A Large-Scale Dataset for Stereo Image Super-Resolution
[CVPR2018] Stereo Super-Resolution Imaging
CUDA implementation of the paper "Depth Super-Resolution Meets Uncalibrated Photometric Stereo"
The state-of-the-art image restoration model without nonlinear activation functions.
Resolution enhancement of tri-stereo remote sensing images by super resolution methods
FidelityFX Super Resolution
翻译 - FidelityFX 超分辨率
Super-Resolution Erlangen (SupER): Benchmarking Super-Resolution Algorithms on Real Data
FidelityFX Super Resolution 2
AI Super - Resolution
Image super-resolution through deep learning
翻译 - 通过深度学习实现图像超分辨率
Super Resolution for images using deep learning.
翻译 - 使用深度学习的图像的超分辨率。
Audio super resolution using neural networks
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching using pytorch-lightning
collection of super-resolution models & algorithms
FidelityFx Super Resolution 2.0 for Cyberpunk
Collect super-resolution related papers, data, repositories
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution