https://github.com/Healthcare-Robotics/bodies-at-rest
공식 코드Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
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
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/HongwenZhang/DaNet-DensePose2SMPL
공식 코드https://github.com/HongwenZhang/PyMAF
공식 코드PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
https://github.com/Jeff-sjtu/HybrIK
공식 코드https://github.com/Unity-Technologies/AnthroNet
공식 코드AnthroNet: Conditional Generation of Humans via Anthropometrics
https://github.com/Unity-Technologies/com.unity.cv.synthetichumans
공식 코드AnthroNet: Conditional Generation of Humans via Anthropometrics
https://github.com/akashsengupta1997/STRAPS-3DHumanShapePose
공식 코드Synthetic Training for Accurate 3D Human Pose and Shape Estimation in the Wild
https://github.com/akashsengupta1997/humaniflow
공식 코드https://github.com/boreshkinai/hybrik-transformer
공식 코드https://github.com/clovaai/meev
공식 코드https://github.com/deepgogogo/CAGNet
공식 코드Consistency-Aware Graph Network for Human Interaction Understanding
https://github.com/hongsukchoi/TCMR_RELEASE
공식 코드Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
https://github.com/huawei-noah/noah-research/tree/master/CLIFF
공식 코드CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/isarandi/nlf
공식 코드Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
https://github.com/isarandi/smplfitter
공식 코드Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
https://github.com/jeff-sjtu/niki
공식 코드https://github.com/jimmyzou/eventhpe
공식 코드https://github.com/juzezhang/ikol
공식 코드https://github.com/mkocabas/PARE
공식 코드https://github.com/nvasilik/d-pose
공식 코드D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation
https://github.com/pixelite1201/CameraHMR/tree/master/CameraHMR_demo
공식 코드https://github.com/prosperolo/gst
공식 코드GST: Precise 3D Human Body from a Single Image with Gaussian Splatting Transformers
https://github.com/robot-perception-group/airpose
공식 코드AirPose: Multi-View Fusion Network for Aerial 3D Human Pose and Shape Estimation
https://github.com/saidwivedi/DSR
공식 코드Learning to Regress Bodies from Images using Differentiable Semantic Rendering
https://github.com/smplbody/hmr-benchmarks
공식 코드Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms
https://github.com/sxl142/glot
공식 코드Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation
https://github.com/tinatiansjz/hmr-survey
공식 코드https://github.com/twehrbein/humr
공식 코드Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery
https://github.com/xuxy09/RSC-Net
공식 코드3D Human Pose, Shape and Texture from Low-Resolution Images and Videos
https://github.com/yangsenius/int_hmr_model
공식 코드Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
https://github.com/zhitengli/bidrn
공식 코드BinaryHPE: 3D Human Pose and Shape Estimation via Binarization
https://github.com/0jason000/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2023-MindSpore-1/ms-code-6/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2023-MindSpore-4/Code8/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/2024-MindSpore-1/Code7/tree/main/CLIFF
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation
https://github.com/Droliven/pymaf_reimplementation
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.