3D Human Reconstruction
43 papers with code • 7 benchmarks • 12 datasets
Benchmarks
These leaderboards are used to track progress in 3D Human Reconstruction
AGORA
Dynamic FAUST
SSP-3D
MoVi
SIZER
CAPE
HBW
X-Humans
HEADSET
Most implemented papers
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization
facebookresearch/pifuhd
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CVPR 2020
Although current approaches have demonstrated the potential in real world settings, they still fail to produce reconstructions with the level of detail often present in the input images.
3D Human Mesh Regression with Dense Correspondence
zengwang430521/DecoMR
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CVPR 2020
This paper proposes a model-free 3D human mesh estimation framework, named DecoMR, which explicitly establishes the dense correspondence between the mesh and the local image features in the UV space (i. e. a 2D space used for texture mapping of 3D mesh).
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
HongwenZhang/PyMAF
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ICCV 2021
Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images.
ICON: Implicit Clothed humans Obtained from Normals
First, ICON infers detailed clothed-human normals (front/back) conditioned on the SMPL(-X) normals.
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos
With a simple yet effective motion-aware fully-connected network, SmoothNet improves the temporal smoothness of existing pose estimators significantly and enhances the estimation accuracy of those challenging frames as a side-effect.
AnthroNet: Conditional Generation of Humans via Anthropometrics
We present a novel human body model formulated by an extensive set of anthropocentric measurements, which is capable of generating a wide range of human body shapes and poses.
Self-supervised Learning of Motion Capture
chingswy/HumanPoseMemo
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NeurIPS 2017
In this work, we propose a learning based motion capture model for single camera input.
DeepHuman: 3D Human Reconstruction from a Single Image
ZhengZerong/DeepHuman
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ICCV 2019
We propose DeepHuman, an image-guided volume-to-volume translation CNN for 3D human reconstruction from a single RGB image.
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
vchoutas/smplify-x
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CVPR 2019
We use the new method, SMPLify-X, to fit SMPL-X to both controlled images and images in the wild.
PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
shunsukesaito/PIFu
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ICCV 2019
We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their corresponding 3D object.
