https://github.com/BatFaceWayne/POV_Surgery
공식 코드POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
6D pose estimation of hand and object
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
Towards unconstrained joint hand-object reconstruction from RGB videos
Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
Interacting Hand-Object Pose Estimation via Dense Mutual Attention
Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time
Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Learning joint reconstruction of hands and manipulated objects
Learning joint reconstruction of hands and manipulated objects
Learning joint reconstruction of hands and manipulated objects
HOnnotate: A method for 3D Annotation of Hand and Object Poses
HOnnotate: A method for 3D Annotation of Hand and Object Poses
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.