3D Human Shape Estimation
18 papers with code • 2 benchmarks • 7 datasets
AGORA
BEDLAM
SSP-3D
MoVi
HUMAN4D
HBW
UNIPD-BPE
Most implemented papers
LASOR: Learning Accurate 3D Human Pose and Shape Via Synthetic Occlusion-Aware Data and Neural Mesh Rendering
iGame-Lab/LASOR
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The lack of diverse and accurate pose and shape training data becomes a major bottleneck, especially for scenes with occlusions in the wild.
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild
akashsengupta1997/hierarchicalprobabilistic3dhuman
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ICCV 2021
Thus, it is desirable to estimate a distribution over 3D body shape and pose conditioned on the input image instead of a single 3D reconstruction.
Leveraging MoCap Data for Human Mesh Recovery
naver/posebert
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In fact, we show that simply fine-tuning the batch normalization layers of the model is enough to achieve large gains.
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
nicolasugrinovic/size_depth_disambiguation
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We address the problem of multi-person 3D body pose and shape estimation from a single image.
A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose
zczcwh/gtrs
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We propose a pose analysis module that uses graph transformers to exploit structured and implicit joint correlations, and a mesh regression module that combines the extracted pose feature with the mesh template to reconstruct the final human mesh.
Human Performance Capture from Monocular Video in the Wild
MoyGcc/hpcwild
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In this work, we propose a method capable of capturing the dynamic 3D human shape from a monocular video featuring challenging body poses, without any additional input.
Accurate 3D Body Shape Regression using Metric and Semantic Attributes
Since paired data with images and 3D body shape are rare, we exploit two sources of information: (1) we collect internet images of diverse "fashion" models together with a small set of anthropometric measurements; (2) we collect linguistic shape attributes for a wide range of 3D body meshes and the model images.
Super-resolution 3D Human Shape from a Single Low-Resolution Image
marcopesavento/Super-resolution-3D-Human-Shape-from-a-Single-Low-Resolution-Image
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The approach overcomes limitations of existing approaches that reconstruct 3D human shape from a single image, which require high-resolution images together with auxiliary data such as surface normal or a parametric model to reconstruct high-detail shape.
