xiangruhuang

xiangruhuang's Stars

• TimoBolkart/voca

  This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.

  Language:Python1.1k274

• zj-dong/AG3D

  Official code release for ICCV2023 paper AG3D: Learning to Generate 3D Avatars from 2D Image Collections

  Language:Python24219

• xiangruhuang/neuromorph

  Implementation of the NeuroMorph method from CVPR 2021.

  Language:Python1

• RuojinCai/ShapeGF

  Learning Gradient Fields for Shape Generation

  Language:Python18634

• stevenygd/PointFlow

  PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

  Language:Python71899

• luost26/diffusion-point-cloud

  :thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)

  Language:Python62687

• linyiLYi/pose-monitor

  “让爷康康”是一款手机 AI 应用程序，可以监测不良坐姿并进行语音提示

  Language:Jupyter Notebook2.5k389

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.6k1.3k

• GitBoSun/ARAPReg

  Language:Python15218

• nmwsharp/robust-laplacians-py

  Build high-quality Laplace matrices on meshes and point clouds in Python. Implements [Sharp & Crane SGP 2020].

  Language:C++19917

• google-research-datasets/Objectron

  Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

  Language:Jupyter Notebook2.2k262

• hmorimitsu/sift-flow-gpu

  SIFT Flow descriptor implemented on PyTorch

  Language:Jupyter Notebook397

• xiangruhuang/HumanCorresViaLearn2Sync

  Language:Python476

• AutodeskAILab/Fusion360GalleryDataset

  Data, tools, and documentation of the Fusion 360 Gallery Dataset

  Language:Jupyter Notebook41951

• huangqx/MultiScanRegistration

  Language:C++10915

• Titan-Tong/ScaledGD

  Scaled Gradient Descent for Low-rank Matrix and Tensor Estimation

  Language:MATLAB253

• zaiweizhang/H3DNet

  Language:Python21125

• microsoft/MixedRealityToolkit-Unity

  This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

  Language:C#6k2.1k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python20.9k3.6k

• chensong1995/HybridPose

  HybridPose: 6D Object Pose Estimation under Hybrid Representation (CVPR 2020)

  Language:Python41164

• wuhan2020/wuhan2020.github.io

  Wuhan2020 Community Website

  Language:JavaScript7884

• SimingYan/Hybrid_Relative_Pose

  [CVPR 2020] "Extreme Relative Pose Network under Hybrid Representations"

  Language:Python234

• Nes-tle/K_best_trans_sync

  Language:MATLAB62

• xiangruhuang/Learning2Sync

  Language:Python448

• zhenpeiyang/RelativePose

  Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion

  Language:Python14917

• zaiweizhang/path_invariance_map_network

  path invariance map network research project

  Language:Python808

• a061105/ExtremeMulticlass

  Language:C++72