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micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. CVPR_2021.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
Deep Semantic Statistics Matching (D2SM) Denoising Network (ECCV22)
收集 ECCV 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)
Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022
Implementations of few-shot object detection benchmarks
Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
A collection of awesome things about mixed sample data augmentation
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
[ECCV2020] A super-resolution dataset of paired LR-HR scene text images
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
The ICDAR2015-TextSR dataset. This dataset was originally presented for the ICDAR2015 Competition on Text Image Super-Resolution. The released version contains supplementary materials (original ima…
Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)
An unofficial implementation of "Unpaired Image Super-Resolution using Pseudo-Supervision." CVPR2020
Super Resolution for images using deep learning.
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)