Beast code in Giters

Jianwen Song's starred repositories

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Language:PythonMIT10486 45 415

awesome-testflight-link

Collection of Testflight public app link（iOS/iPad OS/macOS）。

Language:PythonMIT3652 227 168

T2T-ViT

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Language:Jupyter NotebookNOASSERTION1147 18 76

Twins

Two simple and effective designs of vision transformer, which is on par with the Swin transformer

Language:PythonApache-2.0580 15 36

[ECCV] Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. Advances in Image Manipulation (AIM) workshop ECCV 2022. Try it out! over 3.3M runs https://replicate.com/mv-lab/swin2sr

Language:PythonApache-2.0578 120

CSWin-Transformer

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped, CVPR 2022

Language:PythonMIT545 12 47

mvit

Code Release for MViTv2 on Image Recognition.

Language:PythonApache-2.0392 13 20

NATTEN

Neighborhood Attention Extension. Bringing attention to a neighborhood near you!

Language:CudaNOASSERTION362 10 110

FFTformer

[CVPR 2023] Effcient Frequence Domain-based Transformer for High-Quality Image Deblurring

Language:PythonMIT245 7 30

SPACH

Language:PythonMIT195 9 6

CPVT

190 19 6

super-image

Image super resolution models for PyTorch.

Language:PythonApache-2.0159 2 7

gUNet

Rethinking Performance Gains in Image Dehazing Networks

Language:PythonMIT156 2 15

CAT

PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"

Language:PythonApache-2.0124 3 12

MAN

Multi-scale Attention Network for Single Image Super-Resolution (CVPRW 2024)

Language:PythonApache-2.0123 2 24

RethinkVSRAlignment

(NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers

Language:Python113 4 10

AiT

Language:Python101 8 14

CMT.pytorch

CMT Pytorch implementation of our CVPR 2022 paper CMT: Convolutional Neural Networks Meet Vision Transformers (https://arxiv.org/pdf/2107.06263.pdf).

Language:Python93 2 7

VapSR

models and code for "Efficient Image Super Resolution using Vast Receptive Field Attention"

Language:Python73 3 7

DLSN

This project is for DLSN introduced in the following paper "Global Learnable Attention for Single Image Super-Resolution".

Language:PythonMIT52 3 5

FSDGN

Official implementation for "Frequency and Spatial Dual Guidance for Image Dehazing" [ECCV 2022]

Language:PythonMIT52 3 12

DHVT

This is an official implementation of our NeurIPS 2022 paper "Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets".

Language:PythonApache-2.051 3 2