https://github.com/edybk/hand-pose-estimation-for-surgical-training
공식 코드Using Hand Pose Estimation To Automate Open Surgery Training Feedback
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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>
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Using Hand Pose Estimation To Automate Open Surgery Training Feedback
TempCLR: Reconstructing Hands via Time-Coherent Contrastive Learning
Body2Hands: Learning to Infer 3D Hands from Conversational Gesture Body Dynamics
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation
FrankMocap: Fast Monocular 3D Hand and Body Motion Capture by Regression and Integration
In-Hand Pose Estimation and Pin Inspection for Insertion of Through-Hole Components
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation
Towards unconstrained joint hand-object reconstruction from RGB videos
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity Tracking
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba
PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
Efficient Virtual View Selection for 3D Hand Pose Estimation
Keypoint-GraspNet: Keypoint-based 6-DoF Grasp Generation from the Monocular RGB-D input
Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery
Grasping Field: Learning Implicit Representations for Human Grasps
Grasping Field: Learning Implicit Representations for Human Grasps
Mask2Hand: Learning to Predict the 3D Hand Pose and Shape from Shadow
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction
3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal
End-to-End Human Pose and Mesh Reconstruction with Transformers
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.