Jahan's repositories
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
CVPR2023-Papers-with-Code-Demo
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！
D-PCC
This is the official PyTorch implementation of our paper "Density-preserving Deep Point Cloud Compression" (CVPR 2022).
D3Dnet
Repository for "Deformable 3D Convolution for Video Super-Resolution", SPL, 2020
deep-learning-StudyNN
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.
deit
Official DeiT repository
draco
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Grad-PU
This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).
HAT
CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer
LSRN-PCGC
[official] DCC 2024: Lightweight super resolution network for point cloud geometry compression
OctAttention
Soruce code of OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression
Omni-SR
[CVPR2023] Implementation of ''Omni Aggregation Networks for Lightweight Image Super-Resolution".
point-cloud-utils
A Python library for common tasks on 3D point clouds
PoinTr
[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
pytorch_resume_training
pytorch_resume_training
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SPoTr
Official pytorch implementation of "Self-positioning Point-based Transformer for Point Cloud Understanding" (CVPR 2023).
torch-points3d
Pytorch framework for doing deep learning on point clouds.
uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
vvtk
A toolkit for volumetric video research