Human 3D model partiality representation via Mean Curvature Flow
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Updated
Oct 17, 2022 - Python
Human 3D model partiality representation via Mean Curvature Flow
A way to visualize clothes on custom body measurements.
Enables users to create a profile saved only to local storage and get size recommendations across sites. This is the ultimate size recommendation plugin, saving time & money for online shoppers as it uses CV to predict body measurements and GPT 4 to provide size recommendations specific to a brand.
A 100% compatiable SMPL,SMPL-H,SMPL-X model implemention in C++ with CUDA support. Same api with python smplx.
Multi-modal Human Mesh Recovery (SMPL) using image and LiDAR data
Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.
➿A rerun plugin and tools for 3D animation
"Linear Regression vs. Deep Learning". The source code for a simple but effective baseline method for human body measurement estimation using only height and weight information about the person.
A real time virtual try-on application using SMPL models and OpenCV
AIST++ Dataset Webpage: https://google.github.io/aistplusplus_dataset
A Wiki on Body-Modelling Technology, maintained by Meshcapade GmbH.
Measure the SMPL body model
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
CVPR 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
[CVPR 2023] Official implementation of the paper "One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer"
API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
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