Course project for Machine Perception course, Spring 2021
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Updated
Mar 14, 2022 - Python
Course project for Machine Perception course, Spring 2021
Theory, Experiments, Dataset, and Code for our newly proposed 3D Human Pose, Shape, and Motion reconstruction pipeline
Code for "Reconstructing 3D Human Pose from RGB-D Data with Occlusions" (PG 2023)
Virtual Reality environment for testing out video-sourced human pose estimations as animation assets for Unity games.
[AAAI 2024] PoseGen: Learning to Generate 3D Human Pose Datasets with NeRF
3D In-the-Wild Human Dataset Generation with Diffusion Models
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
This repository is the implementation of an automatic human hazard detection model based on a human posture. Collaborated with SNU HIS LAB.
[ICCV 2023] This repo is official PyTorch implementation of Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction.
Official implementation of "BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed", CVPR 2024
Official code for "SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation"
[3DV 2024] POCO: 3D Pose and Shape Estimation using Confidence
Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021
[CVPR 2023 Highlight] Official implementation of "NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action"
Our model BUDDI learns the joint distribution of interacting people
The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
Official implementation of CVPR2022 paper "Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video"
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