hand-object pose

15 papers with code • 2 benchmarks • 4 datasets

6D pose estimation of hand and object

Libraries

Use these libraries to find hand-object pose models and implementations

Most implemented papers

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

shreyashampali/ho3d CVPR 2020

This dataset is currently made of 77, 558 frames, 68 sequences, 10 persons, and 10 objects.

Learning joint reconstruction of hands and manipulated objects

hassony2/manopth CVPR 2019

Previous work has made significant progress towards reconstruction of hand poses and object shapes in isolation.

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

wenbowen123/icra20-hand-object-pose 7 Mar 2020

The hand's point cloud is pruned and robust global registration is performed to generate object pose hypotheses, which are clustered.

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

bardiadoosti/HOPE CVPR 2020

Hand-object pose estimation (HOPE) aims to jointly detect the poses of both a hand and of a held object.

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

shreyashampali/kypt_transformer CVPR 2022

We propose a robust and accurate method for estimating the 3D poses of two hands in close interaction from a single color image.

Towards unconstrained joint hand-object reconstruction from RGB videos

hassony2/homan 16 Aug 2021

Our work aims to obtain 3D reconstruction of hands and manipulated objects from monocular videos.

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

zerchen/AlignSDF 26 Jul 2022

We show that such aligned SDFs better focus on reconstructing shape details and improve reconstruction accuracy both for hands and objects.

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

leolyliu/teg-track 8 Oct 2022

When manipulating an object to accomplish complex tasks, humans rely on both vision and touch to keep track of the object's 6D pose.

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

dubiouscactus/meta-learning-hope 31 Oct 2022

We propose a novel benchmark for object group distribution shifts in hand and object pose regression.