[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
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Updated
Nov 23, 2023 - Python
[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
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.
Measure the SMPL body model
A real time virtual try-on application using SMPL models and OpenCV
➿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.
Code used in the GRADE framework to convert SMPL animation data to the USD file format to be used in the IsaacSim/Omniverse simulators.
Human 3D model partiality representation via Mean Curvature Flow
Multi-modal Human Mesh Recovery (SMPL) using image and LiDAR data
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