https://github.com/greatenanoymous/rgbtrack
공식 코드RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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Pose Estimation is a computer vision task where the goal is to detect the position and orientation of a person or an object. Usually, this is done by predicting the location of specific keypoints like hands, head, elbows, etc. in case of Human Pose Estimation.
A common benchmark for this task is MPII Human Pose
<span style="color:grey; opacity: 0.6">( Image credit: Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/greatlog/SWAHR-HumanPose
공식 코드Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation
https://github.com/gt-arc/apr-transformer
공식 코드https://github.com/guobaoxiao/gct-net
공식 코드Graph Context Transformation Learning for Progressive Correspondence Pruning
https://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/habib-Boloorchi/CIVO-Visual-Odometry-
공식 코드https://github.com/haksorus/gsplatloc
공식 코드https://github.com/haleqiu/airdos
공식 코드https://github.com/hamburgerlady/fast_planar_camera_pose
공식 코드https://github.com/hanbyel0105/CamDistHumanPose3D
공식 코드Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning
https://github.com/hankyang94/damp
공식 코드https://github.com/hannahhaensen/dynamon
공식 코드DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
https://github.com/haofanwang/accurate-head-pose
공식 코드https://github.com/haonanwang0522/srpose
공식 코드https://github.com/haoyu94/coarse-to-fine-correspondences
공식 코드CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration
https://github.com/hassony2/homan
공식 코드Towards unconstrained joint hand-object reconstruction from RGB videos
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/hellojialee/Improved-Body-Parts
공식 코드Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
https://github.com/hellojialee/OffsetGuided
공식 코드Greedy Offset-Guided Keypoint Grouping for Human Pose Estimation
https://github.com/henry123-boy/Level-S2FM_official
공식 코드Level-S$^2$fM: Structure from Motion on Neural Level Set of Implicit Surfaces
https://github.com/henry123-boy/SpaTrackerV2
공식 코드https://github.com/henrytsui000/pose
공식 코드https://github.com/hhchoi80/hkpose3d
공식 코드Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks
https://github.com/hikvision-research/opera
공식 코드InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
https://github.com/hikvision-research/skelact
공식 코드https://github.com/hilab-open-source/wheelpose
공식 코드WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair Users
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/hkust-aerial-robotics/pagor
공식 코드Pyramid Semantic Graph-based Global Point Cloud Registration with Low Overlap
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/hlz0606/sspcm
공식 코드https://github.com/hnuzhy/directmhp
공식 코드DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
https://github.com/hnuzhy/multiaugs
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.