Papers with Code 아카이브
Hand Pose Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 10
- 보존된 평가 기록
- 61
Hand pose estimation is the task of finding the joints of the hand from an image or set of video frames.
<span style="color:grey; opacity: 0.6">( Image credit: Pose-REN )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dubiouscactus/meta-learning-hope
공식 코드https://github.com/edybk/hand-pose-estimation-for-surgical-training
공식 코드Using Hand Pose Estimation To Automate Open Surgery Training Feedback
https://github.com/eth-ait/tempclr
공식 코드TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
https://github.com/facebookresearch/body2hands
공식 코드Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics
https://github.com/facebookresearch/emg2pose
공식 코드emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
https://github.com/facebookresearch/frankmocap
공식 코드FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
https://github.com/facebookresearch/multi_view_active_learning
공식 코드https://github.com/fanglinpu/JGR-P2O
공식 코드https://github.com/fhagelskjaer/pin-segmentation
공식 코드In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components
https://github.com/florasion/d-vqvae
공식 코드Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
https://github.com/fylwen/htt
공식 코드https://github.com/hassony2/homan
공식 코드Towards unconstrained joint hand-object reconstruction from RGB videos
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/hsp-iit/fast-ycb
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/hsp-iit/roft
공식 코드ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
https://github.com/humansensinglab/Hamba
공식 코드Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
https://github.com/hxwork/handbooster_pytorch
공식 코드https://github.com/hzwang96/pegg-net
공식 코드PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
https://github.com/iscas3dv/handpose-virtualview
공식 코드Efficient Virtual View Selection for 3D Hand Pose Estimation
https://github.com/ivalab/kgn
공식 코드Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
https://github.com/jin-s13/COCO-WholeBody
공식 코드https://github.com/jkpark0825/eanet
공식 코드Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
https://github.com/junggy/housecat6d
공식 코드https://github.com/korrawe/grasping_field
공식 코드Grasping Field: Learning Implicit Representations for Human Grasps
https://github.com/korrawe/grasping_field_demo
공식 코드Grasping Field: Learning Implicit Representations for Human Grasps
https://github.com/leolyliu/teg-track
공식 코드Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing
https://github.com/leylakhaleghi/muvihand
공식 코드https://github.com/lijenchang/Mask2Hand
공식 코드Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from Shadow
https://github.com/lixiny/artiboost
공식 코드ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
https://github.com/lixiny/oakink
공식 코드OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
https://github.com/lmb-freiburg/hand3d
공식 코드https://github.com/masabdi/LSPS
공식 코드3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
https://github.com/meghshukla/activelearningforhumanpose
공식 코드VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
https://github.com/melonwan/denseReg
공식 코드https://github.com/menghao666/hdr
공식 코드3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.