ma-xu Goto Github PK

pct_pytorch

Pytorch implementation of PCT: Point Cloud Transformer

point-clouds-transformer

Learning Deep Point Clouds Representation with Transformer

point-transformer

This is an unofficial implementation of the Point Transformer paper.

pointcloud

pointmlp-pytorch

[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

pointnet2_pytorch

PyTorch implementation of Pointnet2/Pointnet++

pointnet_pointnet2_pytorch

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

pointsmlp

pointview-gcn

The code and dataset will be available soon here

prm

IJCAI 2020

prmlt

Matlab code for algorithms in PRML book

pytorch-center-loss

Pytorch implementation of Center Loss

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorchinsight

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

randla-net-pytorch

RandLA-Net's implementation with Pytorch

randla-net-pytorch-1

:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

rdanet

residual decoupled attention on imagenet

rda_cifar_gcp

RDA on CIFAR100

readme

README文件语法解读，即Github Flavored Markdown语法介绍

renyi

residualattention

rewrite-the-stars

[CVPR 2024] Rewrite the Stars

rnan

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

rrc_detection

Accurate Single Stage Detector Using Recurrent Rolling Convolution

seg_every_thing

Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

seg_every_thing2

self-supervised-photo

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models