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/garfield-kh/posetriplet
공식 코드https://github.com/garvita-tiwari/sizer
공식 코드SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
https://github.com/garyzhao/SemGCN
공식 코드Semantic Graph Convolutional Networks for 3D Human Pose Regression
https://github.com/geekfeiw/WiSPPN
공식 코드https://github.com/gnina/gnina
공식 코드https://github.com/goldbricklemon/uplift-upsample-3dhpe
공식 코드Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
https://github.com/google-research/google-research
공식 코드https://github.com/google-research/google-research/tree/master/comisr
공식 코드https://github.com/google-research/google-research/tree/master/metapose
공식 코드MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision
https://github.com/google/mediapipe
공식 코드https://github.com/guochengqian/magic123
공식 코드Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
https://github.com/guosheng/refinenet
공식 코드RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
https://github.com/h-deep/trans-svsr
공식 코드A New Dataset and Transformer for Stereoscopic Video Super-Resolution
https://github.com/hanbyel0105/CamDistHumanPose3D
공식 코드Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
https://github.com/hbing-l/posynda
공식 코드PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation
https://github.com/hbing-l/rtpca
공식 코드Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation
https://github.com/hhchoi80/hkpose3d
공식 코드Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks
https://github.com/hitrainer/eavsr
공식 코드Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-Resolution
https://github.com/hkchengrex/XMem
공식 코드XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
https://github.com/hlz0606/dh-aug-dh-forward-kinematics-model-driven-augmentation-for-3d-human-pose-estimation
공식 코드DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation
https://github.com/hongsukchoi/3dcrowdnet_release
공식 코드Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes
https://github.com/hongsukchoi/Pose2Mesh_RELEASE
공식 코드Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
https://github.com/hongsukchoi/TCMR_RELEASE
공식 코드Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video
https://github.com/house-leo/cfdvsr
공식 코드Collaborative Feedback Discriminative Propagation for Video Super-Resolution
https://github.com/house-leo/ctun
공식 코드Cascaded Temporal Updating Network for Efficient Video Super-Resolution
https://github.com/howiema/ppt
공식 코드PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation
https://github.com/howiema/transfusion-pose
공식 코드TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation
https://github.com/hrishavbakulbarua/gta-hdr
공식 코드GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
https://github.com/hs1ang-hsu/BLAPose
공식 코드BLAPose: Enhancing 3D Human Pose Estimation with Bone Length Adjustment
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/huaxiuyao/mlti
공식 코드https://github.com/hyer/hdformer
공식 코드HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
https://github.com/hygenie1228/cycleadapt_release
공식 코드Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
https://github.com/hyhsimon/boosted-vsr
공식 코드Boosting Video Super Resolution with Patch-Based Temporal Redundancy Optimization
https://github.com/iGame-Lab/LASOR
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.