DavidTu21
PhD student at School of Computer Science, University of Sydney, Australia
University of SydneySydney
DavidTu21's Stars
eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
yanx27/Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
NUAAXQ/awesome-point-cloud-analysis-2023
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
3DFaceBody/awesome-3dbody-papers
😎Awesome list of papers about 3D body
microsoft/MeshGraphormer
Research code of ICCV 2021 paper "Mesh Graphormer"
mkocabas/body-model-visualizer
GUI for visualization and interactive editing of SMPL-family body models ie. SMPL, SMPL-X, MANO, FLAME.
qianlim/CAPE
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
jchibane/if-net
Implicit Feature Network (IF-Net) - Codebase
Jeff-sjtu/NIKI
Code of "NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation", CVPR 2023
bharat-b7/IPNet
Repo for "Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction, ECCV'20(Oral)""
sergeyprokudin/bps
Efficient Learning on Point Clouds with Basis Point Sets
pablopalafox/npms
Official implementation of NPMs: Neural Parametric Models for 3D Deformable Shapes - ICCV 2021
bharat-b7/LoopReg
TylerSandman/py-bst
Implements Binary Search Trees, AVL Trees, Splay Trees, and Red Black Trees in Python with plotting.
climbingdaily/SMPL-Scene-Viewer
A simple and fast GUI tool to visualize and compare the SMPL sequences and scenes in real-time.
HavenFeng/ArtEq
Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance (ICCV2023)
human-3d/Human3D
We propose the first multi-human body-part segmentation model, called Human3D 🧑🤝🧑, that directly operates on 3D scenes. In an extensive analysis, we validate the benefits of training on synthetic data on multiple baselines and tasks.
qianlim/cape_utils
Official utilities for the CAPE dataset: https://cape.is.tue.mpg.de
daeyun/mesh-to-depth
Depth map generator for Python written in C++
ipl-uw/ZeDO-Release
This is the official implementation of "Back to Optimization: Diffusion-based Zero-Shot 3D Human Pose Estimation"
hanabi7/VoteHMR
the official code of VoteHMR
soullessrobot/LiDAR-HMR
Code and data for LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
Healthcare-Robotics/BodyPressure
Inferring Body Pose and Contact Pressure from a Depth Image
hanbyel0105/Diff-HMR
Official PyTorch Implementation of "Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models", ICCV 2023 CV4Metaverse Workshop
ZhengZerong/SmplLabeling
Body part label of SMPL model
RCHI-Lab/BodyMAP
Official implementation of "BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed", CVPR 2024
issacchan26/HumanPartSegmentation
3D Human Part Segmentation with Point Transformer
hanabi7/point_cloud_smplify
smplify code for point cloud based HMR
pgrady3/SLP-3Dfits
Fits of the 3D SMPL mesh model to the SLP dataset
gmntu/hoseg
(EMBC 2019) Hand and Object Segmentation from Depth Image using Fully Convolutional Network