3D Human Reconstruction
49 papers with code • 8 benchmarks • 13 datasets
Benchmarks
These leaderboards are used to track progress in 3D Human Reconstruction
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AGORA
BEHAVE
Dynamic FAUST
SSP-3D
MoVi
CAPE
HBW
X-Humans
Latest papers
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
As a result, our CONTHO achieves state-of-the-art performance in both human-object contact estimation and joint reconstruction of 3D human and object.
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot
naver/multi-hmr
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We present Multi-HMR, a strong single-shot model for multi-person 3D human mesh recovery from a single RGB image.
Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images
yztang4/hap
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The latest trends in the research field of single-view human reconstruction devote to learning deep implicit functions constrained by explicit body shape priors.
SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
Compared with natural images, freehand sketches are much more flexible to depict various shapes, providing a high potential and valuable way for 3D human reconstruction.
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
caizhongang/SMPLer-X
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NeurIPS 2023
1) For the data scaling, we perform a systematic investigation on 32 EHPS datasets, including a wide range of scenarios that a model trained on any single dataset cannot handle.
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.
HybrIK-X: Hybrid Analytical-Neural Inverse Kinematics for Whole-body Mesh Recovery
Jeff-sjtu/HybrIK
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To address these issues, this paper presents a novel hybrid inverse kinematics solution, HybrIK, that integrates the merits of 3D keypoint estimation and body mesh recovery in a unified framework.
One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
IDEA-Research/OSX
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CVPR 2023
It is challenging to perform this task with a single network due to resolution issues, i. e., the face and hands are usually located in extremely small regions.
SHERF: Generalizable Human NeRF from a Single Image
To this end, we propose a bank of 3D-aware hierarchical features, including global, point-level, and pixel-aligned features, to facilitate informative encoding.
X-Avatar: Expressive Human Avatars
Skype-line/X-Avatar
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CVPR 2023
Our method models bodies, hands, facial expressions and appearance in a holistic fashion and can be learned from either full 3D scans or RGB-D data.
