Contact Edit: Artist Tools for Intuitive Modeling of Hand-Object Interactions
Arjun Sriram Lakshmipathy, Nicole Feng, Yu Xi Lee, Moshe Mahler, Nancy S. Pollard
摘要
Posing high-contact interactions is challenging and time-consuming, with hand-object interactions being especially difficult due to the large number of degrees of freedom (DOF) of the hand and the fact that humans are experts at judging hand poses. This paper addresses this challenge by elevating contact areas to first-class primitives. We provide end-to-end art-directable (EAD) tools to model interactions based on contact areas, directly manipulate contact areas, and compute corresponding poses automatically. To make these operations intuitive and fast, we present a novel axis-based contact model that supports real-time approximately isometry-preserving operations on triangulated surfaces, permits movement between surfaces, and is both robust and scalable to large areas. We show that use of our contact model facilitates high quality posing even for unconstrained, high-DOF custom rigs intended for traditional keyframe-based animation pipelines. We additionally evaluate our approach with comparisons to prior art, ablation studies, user studies, qualitative assessments, and extensions to full-body interaction.
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- Hand-Object Contact Consistency Reasoning for Human Grasps GenerationHanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong WangICCV 2021 · 被引用 242 次
- ManipNet: neural manipulation synthesis with a hand-object spatial representationHe Zhang, Yuting Ye, Takaaki Shiratori, Taku KomuraSIGGRAPH 2021 · 被引用 70 次
- D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object InteractionsSammy Joe Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo 等CVPR 2022 · 被引用 69 次
- ContactOpt: Optimizing Contact To Improve GraspsPatrick Grady, Chengcheng Tang, Christopher D. Twigg, Minh Vo 等CVPR 2021
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