Papers with Code 아카이브
3D Human Pose Estimation
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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/tinatiansjz/hmr-survey
공식 코드https://github.com/tingtingliao/soap
공식 코드https://github.com/tobibaum/partialsportsfieldreg_3dhpe
공식 코드Monocular 3D Human Pose Estimation for Sports Broadcasts using Partial Sports Field Registration
https://github.com/transpchan/Live3D
공식 코드https://github.com/ttxskk/AiOS
공식 코드AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
https://github.com/twehrbein/Probabilistic-Monocular-3D-Human-Pose-Estimation-with-Normalizing-Flows
공식 코드Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows
https://github.com/twehrbein/humr
공식 코드Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
https://github.com/una-dinosauria/3d-pose-baseline
공식 코드A simple yet effective baseline for 3d human pose estimation
https://github.com/uuembodiedsocialai/FaceDiffuser
공식 코드FaceDiffuser: Speech-Driven 3D Facial Animation Synthesis Using Diffusion
https://github.com/uzh-rpg/hybrid_ann_snn
공식 코드A Hybrid ANN-SNN Architecture for Low-Power and Low-Latency Visual Perception
https://github.com/val-iisc/sketch-parse
공식 코드https://github.com/valeoai/pafuse
공식 코드PAFUSE: Part-based Diffusion for 3D Whole-Body Pose Estimation
https://github.com/vb000/neuricam
공식 코드NeuriCam: Key-Frame Video Super-Resolution and Colorization for IoT Cameras
https://github.com/vchoutas/expose
공식 코드Monocular Expressive Body Regression through Body-Driven Attention
https://github.com/vchoutas/smplify-x
공식 코드Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
https://github.com/vefalun/HTNet
공식 코드HTNet: Human Topology Aware Network for 3D Human Pose Estimation
https://github.com/vegesm/depthpose
공식 코드Absolute Human Pose Estimation with Depth Prediction Network
https://github.com/vegesm/pose_refinement
공식 코드Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
https://github.com/vegesm/siamese-pose-estimation
공식 코드https://github.com/vegesm/wdspose
공식 코드Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
https://github.com/vegetebird/graphmlp
공식 코드GraphMLP: A Graph MLP-Like Architecture for 3D Human Pose Estimation
https://github.com/vita-epfl/deposit
공식 코드A generic diffusion-based approach for 3D human pose prediction in the wild
https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/vru2020/Pose_3D
공식 코드Self-Supervised 3D Human Pose Estimation with Multiple-View Geometry
https://github.com/vru2020/tm_hpe
공식 코드Learning Temporal 3D Human Pose Estimation with Pseudo-Labels
https://github.com/w-shuoyan/evenhancer
공식 코드https://github.com/wangjiongw/freeman_api
공식 코드FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions
https://github.com/wenjiawang0312/zolly
공식 코드Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction
https://github.com/wholebody3d/wholebody3d
공식 코드https://github.com/wkom/virtualpose
공식 코드VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data
https://github.com/wuhaozhe/audio2face_mm2023
공식 코드Speech-Driven 3D Face Animation with Composite and Regional Facial Movements
https://github.com/wujinhuan/3d-human-pose
공식 코드https://github.com/wujinhuan/depropose
공식 코드DeProPose: Deficiency-Proof 3D Human Pose Estimation via Adaptive Multi-View Fusion
https://github.com/wusize/multiview_pose
공식 코드Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images
https://github.com/xhaughearl/haarmodic
공식 코드Multi-Resolution Haar Network: Enhancing human motion prediction via Haar transform
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