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hand-object pose

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Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders

ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation

OccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation

Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics

HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation

HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction

HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields

NCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction

DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation

ArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation

POV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities

gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction

Interacting Hand-Object Pose Estimation via Dense Mutual Attention

A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar?

Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing

Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild

S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning

AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction

Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution

HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network

ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis

Towards unconstrained joint hand-object reconstruction from RGB videos

Semi-supervised 3D Hand-Object Pose Estimation via Pose Dictionary Learning

Semi-Supervised 3D Hand-Object Poses Estimation with Interactions in Time

Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation

H2O: Two Hands Manipulating Objects for First Person Interaction Recognition

Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction

HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation

Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands

HOnnotate: A method for 3D Annotation of Hand and Object Poses

Learning joint reconstruction of hands and manipulated objects

Generalized Feedback Loop for Joint Hand-Object Pose Estimation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.