Papers hand-object pose
“hand-object pose” 태그가 달린 논문 39편 · 필터 해제
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 EstimationViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation
Object 6D pose estimation is a critical challenge in robotics, particularly for manipulation tasks. While prior research combining visual and tactile (visuotactile) information has shown promise, these approaches often s…
6D Pose Estimationhand-object poseObjectPose EstimationOccRobNet : Occlusion Robust Network for Accurate 3D Interacting Hand-Object Pose Estimation
Occlusion is one of the challenging issues when estimating 3D hand pose. This problem becomes more prominent when hand interacts with an object or two hands are involved. In the past works, much attention has not been gi…
3D Hand Pose Estimationhand-object poseHand Pose EstimationPose EstimationCollaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics
With the availability of egocentric 3D hand-object interaction datasets, there is increasing interest in developing unified models for hand-object pose estimation and action recognition. However, existing methods still s…
Action Recognitionhand-object poseObjectObject Reconstruction+1HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation
Understanding of bimanual hand-object interaction plays an important role in robotics and virtual reality. However, due to significant occlusions between hands and object as well as the high degree-of-freedom motions, it…
3DGSData Augmentationhand-object poseObject+1UniHOPE: A Unified Approach for Hand-Only and Hand-Object Pose Estimation
Estimating the 3D pose of hand and potential hand-held object from monocular images is a longstanding challenge. Yet, existing methods are specialized, focusing on either bare-hand or hand interacting with object. No…
hand-object poseHand Pose EstimationObjectPose EstimationHO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
We introduce a data capture system and a new dataset, HO-Cap, for 3D reconstruction and pose tracking of hands and objects in videos. The system leverages multiple RGB-D cameras and a HoloLens headset for data collection…
3D Reconstructionhand-object poseHand Pose EstimationPose Tracking+1HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
Human hands are highly articulated and versatile at handling objects. Jointly estimating the 3D poses of a hand and the object it manipulates from a monocular camera is challenging due to frequent occlusions. Thus, exist…
3D Hand Pose Estimationhand-object poseObjectPose EstimationNCRF: Neural Contact Radiance Fields for Free-Viewpoint Rendering of Hand-Object Interaction
Modeling hand-object interactions is a fundamentally challenging task in 3D computer vision. Despite remarkable progress that has been achieved in this field, existing methods still fail to synthesize the hand-object int…
hand-object poseNovel View SynthesisObjectObject Reconstruction+1DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation
This paper addresses the task of 3D pose estimation for a hand interacting with an object from a single image observation. When modeling hand-object interaction, previous works mainly exploit proximity cues, while overlo…
3D Pose Estimationhand-object poseObjectPose EstimationArtiGrasp: Physically Plausible Synthesis of Bi-Manual Dexterous Grasping and Articulation
We present ArtiGrasp, a novel method to synthesize bi-manual hand-object interactions that include grasping and articulation. This task is challenging due to the diversity of the global wrist motions and the precise fing…
Diversityhand-object poseObjectPOV-Surgery: A Dataset for Egocentric Hand and Tool Pose Estimation During Surgical Activities
The surgical usage of Mixed Reality (MR) has received growing attention in areas such as surgical navigation systems, skill assessment, and robot-assisted surgeries. For such applications, pose estimation for hand and su…
3D Hand Pose Estimationhand-object poseMixed RealityPose Estimation+2gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
Signed distance functions (SDFs) is an attractive framework that has recently shown promising results for 3D shape reconstruction from images. SDFs seamlessly generalize to different shape resolutions and topologies but …
3D geometry3D Reconstruction3D Shape Reconstructionhand-object pose+1Harmonious Feature Learning for Interactive Hand-Object Pose Estimation
Joint hand and object pose estimation from a single image is extremely challenging as serious occlusion often occurs when the hand and object interact. Existing approaches typically first extract coarse hand and obje…
3D Hand Pose Estimationhand-object poseHand Pose EstimationObject+1Interacting Hand-Object Pose Estimation via Dense Mutual Attention
3D hand-object pose estimation is the key to the success of many computer vision applications. The main focus of this task is to effectively model the interaction between the hand and an object. To this end, existing wor…
3D Hand Pose Estimationhand-object poseObjectPose Estimation