Media Summary: Project page: Authors: Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, ... The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and This is the 5-minute video for our CVPR 2022 paper: "Self-supervised Neural

Learning Articulated Shape From Sparse - Detailed Analysis & Overview

Project page: Authors: Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, ... The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and This is the 5-minute video for our CVPR 2022 paper: "Self-supervised Neural Xusheng Du, Yi He, Xi Yang, Haoran Xie. Sketch-based 3D Authors: Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu ... Copy of MoSh Motion and Shape Capture from Sparse Markers SIGGRAPH Asia 2014

Sixth Workshop on Computer Vision for AR/VR (CV4ARVR) More information at: LEAP is a neural network architecture for representing volumetric animatable human bodies. It follows traditional human body ... NeurIPS 2018 (oral) Project Page: Authors: Xiuming Zhang*, Zhoutong Zhang*, Chengkai Zhang, ...

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Learning Articulated Shape from Sparse Image Ensemble via 3D Part Discovery
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
STAR: Sparse Trained Articulated Human Body Regressor (ECCV2020) -- short video (60s)
[CVPR 2022] Self-supervised Neural Articulated Shape and Appearance Models
Sketch-based 3D Shape Modeling from Sparse Point Clouds
Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models
Copy of MoSh Motion and Shape Capture from Sparse Markers SIGGRAPH Asia 2014
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
NASA: Neural Articulated Shape Approximation (ECCV 2020)
[CVPR 2021] LEAP: Learning Articulated Occupancy of People
Talk: Learning to Reconstruct Shapes from Unseen Classes (NeurIPS 2018 Oral)
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Learning Articulated Shape from Sparse Image Ensemble via 3D Part Discovery

Learning Articulated Shape from Sparse Image Ensemble via 3D Part Discovery

Project page: https://chhankyao.github.io/lassie/ Authors: Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, ...

LASR: Learning Articulated Shape Reconstruction from a Monocular Video

LASR: Learning Articulated Shape Reconstruction from a Monocular Video

https://lasr-google.github.io/

STAR: Sparse Trained Articulated Human Body Regressor (ECCV2020) -- short video (60s)

STAR: Sparse Trained Articulated Human Body Regressor (ECCV2020) -- short video (60s)

The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and

[CVPR 2022] Self-supervised Neural Articulated Shape and Appearance Models

[CVPR 2022] Self-supervised Neural Articulated Shape and Appearance Models

This is the 5-minute video for our CVPR 2022 paper: "Self-supervised Neural

Sketch-based 3D Shape Modeling from Sparse Point Clouds

Sketch-based 3D Shape Modeling from Sparse Point Clouds

Xusheng Du, Yi He, Xi Yang, Haoran Xie. Sketch-based 3D

Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces

Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces

From the Springer book:

GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models

GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models

Authors: Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu ...

Copy of MoSh Motion and Shape Capture from Sparse Markers SIGGRAPH Asia 2014

Copy of MoSh Motion and Shape Capture from Sparse Markers SIGGRAPH Asia 2014

Copy of MoSh Motion and Shape Capture from Sparse Markers SIGGRAPH Asia 2014

A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose

A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose

Sixth Workshop on Computer Vision for AR/VR (CV4ARVR) More information at: https://xr.cornell.edu/workshop/2022/papers.

NASA: Neural Articulated Shape Approximation (ECCV 2020)

NASA: Neural Articulated Shape Approximation (ECCV 2020)

Project Page: https://nasa-eccv20.github.io/.

[CVPR 2021] LEAP: Learning Articulated Occupancy of People

[CVPR 2021] LEAP: Learning Articulated Occupancy of People

LEAP is a neural network architecture for representing volumetric animatable human bodies. It follows traditional human body ...

Talk: Learning to Reconstruct Shapes from Unseen Classes (NeurIPS 2018 Oral)

Talk: Learning to Reconstruct Shapes from Unseen Classes (NeurIPS 2018 Oral)

NeurIPS 2018 (oral) Project Page: http://genre.csail.mit.edu/ Authors: Xiuming Zhang*, Zhoutong Zhang*, Chengkai Zhang, ...

SGP 2020: Nonlinear Deformation Synthesis via Sparse Principal Geodesic Analysis

SGP 2020: Nonlinear Deformation Synthesis via Sparse Principal Geodesic Analysis

Nonlinear Deformation Synthesis via