TakaMiki

TakaMiki's Stars

• ScanNet/ScanNet

  Language:C1.8k346

• tianzheng4/PointCloud-Saliency-Maps

  ICCV 2019 oral presentation

  Language:Python8115

• ncampost/vis-autoencoder-tsne

  Autoencoder and t-SNE dim-reduction to visualize the MNIST dataset (and others)

  Language:Python1711

• Fragjacker/Pointcloud-grad-CAM

  Language:Python241

• vinits5/pc_autoencoder

  Auto Encoder for 3D Point Clouds using ModelNet40 Dataset

  Language:Python113

• charlesq34/pointnet-autoencoder

  Autoencoder for Point Clouds

  Language:Python41185

• cihanongun/Point-Cloud-Autoencoder

  Autoencoder model for Point Clouds implemented in PyTorch

  Language:Jupyter Notebook221

• yunlu-chen/PointMixup

  Implementation for paper "PointMixup: Augmentation for Point Cloud". Accepted to ECCV 2020 as spotlight presentation

  Language:Python9810

• mlvlab/PointWOLF

  Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

  Language:Python358

• square-1111/3D-Point-Cloud-Modeling

  Pytorch implementation of Learning Representations and Generative Models for 3D Point Clouds

  Language:Jupyter Notebook214

• isl-org/Open3D

  Open3D: A Modern Library for 3D Data Processing

  Language:C++11.1k2.3k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.2k4k

• black0017/3D-GAN-pytorch

  Responsible implementation of 3D-GAN NIPS 2016 paper:Learning a Probabilistic Latent Space of ObjectShapes via 3D Generative-Adversarial Modeling,that can be found https://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling.pdf

  Language:Jupyter Notebook15023

• ma-xu/pointMLP-pytorch

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

  Language:Python47360

• robotic-vision-lab/Progressive-Conditional-Generative-Adversarial-Network

  Progressive conditional generative adversarial network for generating dense and colored 3D point clouds.

  Language:Python252

• Zhengxinyang/SDF-StyleGAN

  Language:Python11812

• Regenerator/dpf-nets

  Flow-based generative model for 3D point clouds.

  Language:Python436

• merlresearch/FoldingNet

  Code for FoldingNet based on Caffe for unsupervised deep learning on point clouds

  Language:Python14

• optas/latent_3d_points

  Auto-encoding & Generating 3D Point-Clouds.

  Language:Jupyter Notebook509110

• stevenygd/PointFlow

  PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

  Language:Python71899

• zlyang3/PC-cGAN

  This repository contains a Pytorch implementation of PC-cGAN.

  Language:Python62

• znxlwm/pytorch-generative-model-collections

  Collection of generative models in Pytorch version.

  Language:Python2.6k546

• zhulf0804/3D-PointCloud

  Papers and Datasets about Point Cloud.

  Language:Python2.3k294

• fxia22/pointnet.pytorch

  pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

  Language:Python2.1k621

• alexsax/2D-3D-Semantics

  The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding

  Language:C++46467

• autowarefoundation/autoware

  Autoware - the world's leading open-source software project for autonomous driving

  Language:Shell8.7k3k

• 3d-point-cloud-processing/3dpcp_book_codes

  Language:Jupyter Notebook10329

• isl-org/Open3D-ML

  An extension of Open3D to address 3D Machine Learning tasks

  Language:Python1.8k315

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.6k3.4k

• YutaroOgawa/pytorch_advanced

  書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

  Language:Jupyter Notebook836338