[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
[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 2022 - Official code repository for the paper: Accurate 3D Body Shape Regression using Metric and Semantic Attributes.
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
A Wiki on Body-Modelling Technology, maintained by Meshcapade GmbH.
The Fast Way From Vertices to Parametric 3D Humans
A real-time virtual try-on application using SMPL models and OpenCV
➿A rerun plugin and tools for 3D animation
AIST++ Dataset Webpage: https://google.github.io/aistplusplus_dataset
Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.
#计算机科学#"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 way to visualize clothes on custom body measurements.
A 100% compatiable SMPL,SMPL-H,SMPL-X model implemention in C++ with CUDA support. Same api with python smplx.
#自然语言处理#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 ...
Multi-modal Human Mesh Recovery (SMPL) using image and LiDAR data