Jinglong Du's repositories
VMamba
VMamba: Visual State Space Models，code is based on mamba
MambaIR
A simple baseline for image restoration with state-space model.
SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
ArSSR
[peer review] An Arbitrary Scale Super-Resolution Approach for 3D MR Images using Implicit Neural Representation
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
BioTIP
BioTIP: Biological Tipping-Point Identification and Characterization
MRefSR
LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution
DAT
PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"
CAT
PyTorch code for our NeurIPS 2022 paper "Cross Aggregation Transformer for Image Restoration"
ALM
Extended Local Attribution Maps from SISR Demo to Video Demo
SRFormer
Official code for "SRFormer: Permuted Self-Attention for Single Image Super-Resolution" (ICCV 2023)
ERVSR
[WACV 23] Efficient Reference-based Video Super-Resolution (ERVSR)
CANM_Net
A pytorch implement of CANM_Net.
chatgpt-web
使用 express 和 vue3 搭建的 ChartGPT 演示网页
AIDSRGAN-MICCAI2022
Official Pytorch Code for "Rethinking Degradation: Radiograph Super-Resolution via AID-SRGAN" - MICCAI 2022 Workshop
JinglongDu
Config files for my GitHub profile.
HAT
Arxiv2022 - Activating More Pixels in Image Super-Resolution Transformer
d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。
wandb
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Fusformer
Code for the paper: "Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolution"
act
The implementation of "Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution" [WACV 2023].
RepLKNet-pytorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
SuperFormer
Pytorch implementation of the paper SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution. SASHIMI workshop MICCAI 2022
TranSMS
Official Implementation of Transformers for System Matrix Super-resolution (TranSMS)