xiongyiheng

xiongyiheng's Stars

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55.1k2.2k18915.9k

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.8k604301.8k

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.5k3455335

• hojonathanho/diffusion

  Denoising Diffusion Probabilistic Models

  Language:Python4k2022383

• charlesq34/pointnet2

  PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

  Language:Python3.2k72233906

• tianweiy/CenterPoint

  Language:Python1.9k35408457

• autonomousvision/occupancy_networks

  This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

  Language:Python1.6k32130297

• chrischoy/3D-R2N2

  Single/multi view image(s) to voxel reconstruction using a recurrent neural network

  Language:Python1.4k6165295

• justimyhxu/awesome-3D-generation

  A curated list of awesome 3d generation papers

  1.1k51554

• jwyang/graph-rcnn.pytorch

  [ECCV 2018] Official code for "Graph R-CNN for Scene Graph Generation"

  Language:Python73329113157

• hzxie/Pix2Vox

  The official implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images". (Xie et al., ICCV 2019)

  Language:Python49115113119

• skanti/Scan2CAD

  [CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

  Language:C++435262865

• yccyenchicheng/SDFusion

  Language:C++412164834

• AutodeskAILab/Clip-Forge

  Language:Python378182137

• daerduoCarey/partnet_dataset

  PartNet Dataset Official Release Repo

  Language:Python363154145

• laughtervv/DISN

  DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

  Language:Python304192246

• yccyenchicheng/AutoSDF

  Language:Jupyter Notebook24183630

• WaldJohannaU/3RScan

  3RScan Toolkit

  Language:C++202101620

• czq142857/IM-NET-pytorch

  PyTorch 1.2 implementation of IM-NET.

  Language:Python19782527

• Xharlie/ShapenetRender_more_variation

  A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.

  Language:Python15391123

• Zhengxinyang/SDF-StyleGAN

  Language:Python12361611

• suprosanna/relationformer

  11262016

• KAIST-Visual-AI-Group/SALAD

  Official implementation of SALAD (ICCV 2023).

  Language:Jupyter Notebook7651011

• NNU-GISA/TreeGAN

  3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

  Language:Python463041

• bryonkucharski/Multiview-3D-VAE-GAN

  Multiview extension of the 3D-VAE-GAN architecture introduced in the paper "Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling"

  Language:Python25219

• MEPP-team/Graphics-LPIPS

  Language:Python18223

• sharifza/schemata

  This repository contains code and dataset splits for the paper "Classification by Attention: Scene Graph Classification with Prior Knowledge"

  Language:Python15364

• IvanNik17/Extract-Features-from-3D-meshes-for-Machine-Learning

  Two Python scripts for extracting hand crafted features from 3D meshes and point clouds for Machine Learning. Features have been used as data for Random Forests, AdaBoost, Descision Trees, etc.

  Language:Python14207

• MEPP-team/PCQM

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• MEPP-team/PC-MSDM

  Language:C++12303