Papers with Code 아카이브
3D human pose and shape estimation
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Estimate 3D human pose and shape (e.g. SMPL) from images
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
CameraHMR: Aligning People with Perspective
D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation
GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
Personalized 3D Human Pose and Shape Refinement
3D Human Reconstruction in the Wild with Synthetic Data Using Generative Models
BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos
AnthroNet: Conditional Generation of Humans via Anthropometrics
PointHPS: Cascaded 3D Human Pose and Shape Estimation from Point Clouds
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation
HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
3D Human Pose and Shape Estimation via HybrIK-Transformer
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
MEEV: Body Mesh Estimation On Egocentric Video
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
Learnable human mesh triangulation for 3D human pose and shape estimation
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images
Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video
Recovering 3D Human Mesh from Monocular Images: A Survey
AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation
Camera Motion Agnostic 3D Human Pose Estimation
Learning to Regress Bodies from Images using Differentiable Semantic Rendering
EventHPE: Event-based 3D Human Pose and Shape Estimation
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
PARE: Part Attention Regressor for 3D Human Body Estimation
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Self-Attentive 3D Human Pose and Shape Estimation from Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.