hand-object pose
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Benchmarks
Most implemented
HOnnotate: A method for 3D Annotation of Hand and Object Poses
Learning joint reconstruction of hands and manipulated objects
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction
ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis
Papers
SparseCtrl-HOI: Sparse Temporal Control for Human-Object Interaction Video Generation
Human-Object Interaction (HOI) video generation aims to synthesize realistic videos of humans manipulating diverse objects, serving as a promising avenue for AI-driven live streaming e-commerce. A primary obstacle in thi…
Motion SynthesisVideo Generationhand-object poseTowards in-the-wild Egocentric 3D Hand-Object Pose Estimation
Estimating accurate 3D hand-object pose from in-the-wild egocentric RGB remains challenging due to severe occlusions and ambiguous contact. Existing learning-based methods often struggle to generalise to in-the-wild scen…
hand-object posePose EstimationGenHOI: Generalized Hand-Object Pose Estimation with Occlusion Awareness
Generalized 3D hand-object pose estimation from a single RGB image remains challenging due to the large variations in object appearances and interaction patterns, especially under heavy occlusion. We propose GenHOI, a fr…
hand-object posePose EstimationPoint CloudsVPHO: Joint Visual-Physical Cue Learning and Aggregation for Hand-Object Pose Estimation
Estimating the 3D poses of hands and objects from a single RGB image is a fundamental yet challenging problem, with broad applications in augmented reality and human-computer interaction. Existing methods largely rely on…
Representation Learninghand-object poseTowards Realistic Hand-Object Interaction with Gravity-Field Based Diffusion Bridge
Existing reconstruction or hand-object pose estimation methods are capable of producing coarse interaction states. However, due to the complex and diverse geometry of both human hands and objects, these approaches often …
hand-object poseOcclusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders
Hand-object pose estimation from monocular RGB images remains a significant challenge mainly due to the severe occlusions inherent in hand-object interactions. Existing methods do not sufficiently explore global structur…
hand-object poseObjectPose Estimation