[CVPR2024, Highlight] Official code for DragDiffusion

Deep learning with spiking neural networks (SNNs) in PyTorch.

ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

【瑞士军刀般的工具】用最短的代码完成对模型的分析，包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等

Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).

Collect super-resolution related papers, data, repositories

Open Source Light Field Toolbox for Super-Resolution

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 curated list of awesome computer vision resources

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

A curated list of awesome Deep Learning tutorials, projects and communities.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Light Field Super-Resolution via Adaptive Feature Remixing, IEEE Trans. Image Process., 2021

PyTorch Implementation of "Light Field Image Super-Resolution with Transformers"

VSR-Transformer

Light Field Super-Resolution with Zero-Shot Learning, CVPR 2021, Oral.

Fast and accurate 4D light field depth estimation via sparse reconstruction and diffusion.

Tensorflow Implementation of DexiNed for Edge Detection WACV'20 (also in PyTorch )

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

Richer Convolutional Features for Edge Detection model in pytorch CVPR2017

[TMM2021] Cross View Capture for Stereo Image Super-Resolution

An open source, low-code machine learning library in Python

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

a reimplementation of Holistically-Nested Edge Detection in PyTorch

Light-field imaging application for plenoptic cameras

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

Pytorch implementation of LapSRN with skip connections and weight sharing

Implement RDN with pytorch