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3D Human Pose Estimation

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하위 태스크: 9
평가표: 25
보존된 평가 기록: 447

3D Human Pose Estimation is a computer vision task that involves estimating the 3D positions and orientations of body joints and bones from 2D images or videos. The goal is to reconstruct the 3D pose of a person in real-time, which can be used in a variety of applications, such as virtual reality, human-computer interaction, and motion analysis.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/akashsengupta1997/STRAPS-3DHumanShapePose

공식 코드

Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild

https://github.com/akashsengupta1997/hierarchicalprobabilistic3dhuman

공식 코드

Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild

https://github.com/akashsengupta1997/humaniflow

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HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation

https://github.com/aleksispi/pose-drl

공식 코드

Deep Reinforcement Learning for Active Human Pose Estimation

https://github.com/alexandrosstergiou/adaPool

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AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling

https://github.com/alimd94/fedvsr

공식 코드

FedVSR: Towards Model-Agnostic Federated Learning in Video Super-Resolution

https://github.com/amanchadha/iSeeBetter

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iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks

https://github.com/amyxlase/relpose-plus-plus

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RelPose++: Recovering 6D Poses from Sparse-view Observations

https://github.com/anibali/margipose

공식 코드

3D Human Pose Estimation with 2D Marginal Heatmaps

https://github.com/anitarau/simcol

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Bimodal Camera Pose Prediction for Endoscopy

https://github.com/anxq/dapt

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Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation

https://github.com/aqlaboratory/quickbind

공식 코드

QuickBind: A Light-Weight And Interpretable Molecular Docking Model

https://github.com/arthur151/dynacam

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TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

https://github.com/asukacamellia/tcpformer

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TCPFormer: Learning Temporal Correlation with Implicit Pose Proxy for 3D Human Pose Estimation

https://github.com/avinashpaliwal/Deep-SloMo

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Deep Slow Motion Video Reconstruction with Hybrid Imaging System

https://github.com/aymenmir1/hps

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Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors

https://github.com/baniks/PoseGraphNet

공식 코드

3D Human Pose Regression using Graph Convolutional Network

https://github.com/bastianwandt/CanonPose

공식 코드

CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild

https://github.com/bigrayss/motion2vec

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Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation

https://github.com/bjmch/MRVSR

공식 코드

Stable Long-Term Recurrent Video Super-Resolution

https://github.com/boqian-li/ETCH

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ETCH: Generalizing Body Fitting to Clothed Humans via Equivariant Tightness

https://github.com/boreshkinai/hybrik-transformer

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3D Human Pose and Shape Estimation via HybrIK-Transformer

https://github.com/bosmallear/sharp2022

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3D Textured Shape Recovery with Learned Geometric Priors

https://github.com/boycehbz/DMMR

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Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View Cameras

https://github.com/boycehbz/GroupRec

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Reconstructing Groups of People with Hypergraph Relational Reasoning

https://github.com/boycehbz/chomp

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Occluded Human Body Capture with Self-Supervised Spatial-Temporal Motion Prior

https://github.com/bruceyo/GLA-GCN

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GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video

https://github.com/bryanjvela/poselab3d

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PoseBench3D: A Cross-Dataset Analysis Framework for 3D Human Pose Estimation

https://github.com/buptxyb666/AdaptivePose

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AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression

https://github.com/byeongjun-park/HarmonyView

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HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D

https://github.com/bymaths/probabilistic_triangulation

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Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation

https://github.com/caizhongang/SMPLer-X

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SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

https://github.com/calvinyeungck/athletepose3d

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AthletePose3D: A Benchmark Dataset for 3D Human Pose Estimation and Kinematic Validation in Athletic Movements

https://github.com/caojiezhang/VSR-Transformer

공식 코드

Video Super-Resolution Transformer

https://github.com/caojiezhang/davsr

공식 코드

Towards Interpretable Video Super-Resolution via Alternating Optimization

https://github.com/cedricrommel/manipose

공식 코드

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.