https://github.com/hnuzhy/semiuhpe
공식 코드Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Papers with Code 아카이브
Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 31
- 보존된 평가 기록
- 235
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/hoenigpeter/randomized_texturing
공식 코드https://github.com/holzbock/dfbf
공식 코드https://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/hongsukchoi/hsfm_release
공식 코드https://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/hp-cao/6impose
공식 코드6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
https://github.com/hrishavbakulbarua/gta-hdr
공식 코드GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
https://github.com/hrussel/t-leap
공식 코드T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information
https://github.com/hs1ang-hsu/BLAPose
공식 코드BLAPose: Enhancing 3D Human Pose Estimation with Bone Length Adjustment
https://github.com/hsp-iit/fast-ycb
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/hsp-iit/multi-tactile-6d-estimation
공식 코드Collision-aware In-hand 6D Object Pose Estimation using Multiple Vision-based Tactile Sensors
https://github.com/hsp-iit/roft
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/hsp-iit/sim2real-surface-classification
공식 코드Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile Sensors
https://github.com/huangzhe885/codiff
공식 코드CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
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/hughw19/NOCS_CVPR2019
공식 코드Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
https://github.com/huijiezh/progresslabeller
공식 코드ProgressLabeller: Visual Data Stream Annotation for Training Object-Centric 3D Perception
https://github.com/hukkelas/deep_privacy2
공식 코드https://github.com/hulianyuyy/corrnet_plus
공식 코드CorrNet+: Sign Language Recognition and Translation via Spatial-Temporal Correlation
https://github.com/hulianyuyy/sen_cslr
공식 코드Self-Emphasizing Network for Continuous Sign Language Recognition
https://github.com/humansensinglab/Hamba
공식 코드Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
https://github.com/hunto/reloss
공식 코드https://github.com/hustvl/EfficientPose
공식 코드EfficientPose: Efficient Human Pose Estimation with Neural Architecture Search
https://github.com/hxwork/handbooster_pytorch
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/hyren/acl
공식 코드https://github.com/hzwang96/pegg-net
공식 코드PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.