https://github.com/3dpose/3D-Multi-Person-Pose
공식 코드Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks
Papers with Code 아카이브
3D Human Pose Estimation
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- 보존된 평가 기록
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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/3dpose/GnTCN
공식 코드Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos
https://github.com/AIS-Bonn/SmartEdgeSensor3DHumanPose
공식 코드Real-Time Multi-View 3D Human Pose Estimation using Semantic Feedback to Smart Edge Sensors
https://github.com/AVAuco/ddp
공식 코드3D human pose estimation from depth maps using a deep combination of poses
https://github.com/Adamdad/hash3D
공식 코드https://github.com/AiuniAI/Unique3D
공식 코드Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image
https://github.com/AlanZhang1995/TwoStreamSR
공식 코드Two-Stream Action Recognition-Oriented Video Super-Resolution
https://github.com/AlvinYH/Faster-VoxelPose
공식 코드Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection
https://github.com/Andyen512/DDHPose
공식 코드https://github.com/Arthur151/DSD-SATN
공식 코드Human Mesh Recovery from Monocular Images via a Skeleton-disentangled Representation
https://github.com/Arthur151/ROMP
공식 코드https://github.com/Ascend-Research/Turtle
공식 코드Learning Truncated Causal History Model for Video Restoration
https://github.com/BrianG13/FLEX
공식 코드FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction
https://github.com/CAMERA-Bath/RGBD-Dog
공식 코드https://github.com/CAMMA-public/ORPose-color
공식 코드Self-supervision on Unlabelled OR Data for Multi-person 2D/3D Human Pose Estimation
https://github.com/CAMMA-public/mvor
공식 코드MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation
https://github.com/CHUNYUWANG/imu-human-pose-pytorch
공식 코드Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach
https://github.com/CMU-Perceptual-Computing-Lab/convolutional-pose-machines-release
공식 코드https://github.com/CS-GangXu/TMNet
공식 코드Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
https://github.com/Chenfeng1271/L3A
공식 코드https://github.com/Chris10M/EventEgo3D
공식 코드EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams
https://github.com/ChristianIngwersen/SportsPose
공식 코드https://github.com/Costwen/Ouroboros3D
공식 코드Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
https://github.com/DCVL-3D/PointHMR_release
공식 코드Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
https://github.com/Dianezzy/ParaLip
공식 코드https://github.com/Doubiiu/CodeTalker
공식 코드CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
https://github.com/Droliven/MSRGCN
공식 코드MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction
https://github.com/Embracing/GFPose
공식 코드https://github.com/EnVision-Research/Kiss3DGen
공식 코드Kiss3DGen: Repurposing Image Diffusion Models for 3D Asset Generation
https://github.com/EscVM/RAMS
공식 코드https://github.com/EvelynFan/FaceFormer
공식 코드FaceFormer: Speech-Driven 3D Facial Animation with Transformers
https://github.com/GONGJIA0208/Diffpose
공식 코드https://github.com/GUO-W/MultiMotion
공식 코드https://github.com/Gorilla-Lab-SCUT/DualPoseNet
공식 코드https://github.com/HBioquant/DiffBindFR
공식 코드DiffBindFR: An SE(3) Equivariant Network for Flexible Protein-Ligand Docking
https://github.com/HRNet/Higher-HRNet-Human-Pose-Estimation
공식 코드HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.