Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer
Hyeongjin Nam, Daniel Sungho Jung, Gyeongsik Moon, Kyoung Mu Lee
摘要
Human-object contact serves as a strong cue to understand how humans physically interact with objects. Nev-ertheless, it is not widely explored to utilize human-object contact information for the joint reconstruction of 3D human and object from a single image. In this work, we present a novel joint 3D human-object reconstruction method (CONTHO) that effectively exploits contact information between humans and objects. There are two core designs in our system: 1) 3D-guided contact estimation and 2) contact-based 3D human and object refinement. First, for accurate human-object contact estimation, CONTHO initially reconstructs 3D humans and objects and utilizes them as explicit 3D guidance for contact estimation. Second, to refine the initial reconstructions of 3D human and object, we propose a novel contact-based refinement Transformer that effectively aggregates human features and object features based on the estimated human-object contact. The proposed contact-based refinement prevents the learning of erroneous correlation between human and object, which enables accurate 3D reconstruction. As a result, our CON-THO achieves state-of-the-art performance in both human-object contact estimation and joint reconstruction of 3D human and object. The code is publicly available<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup><sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>https://github.com/dqj5182/CONTHO_RELEASE.
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引用它的顶会 Paper19
- EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric ViewsYuhang Yang, Wei Zhai, Chengfeng Wang, Chengjun Yu 等NeurIPS 2024 · 被引用 31 次
- CARING-AI: Towards Authoring Context-aware Augmented Reality INstruction through Generative Artificial IntelligenceJingyu Shi, Rahul Jain, Seunggeun Chi, Hyungjun Doh 等CHI 2025 · 被引用 19 次
- CARI4D: Category Agnostic 4D Reconstruction of Human-Object InteractionXianghui Xie, Bowen Wen, Yan Chang, Hesam Rabeti 等CVPR 2026 · 被引用 16 次
- Learning Dense Hand Contact Estimation from Imbalanced DataDaniel Sungho Jung, Kyoung Mu LeeNeurIPS 2025 · 被引用 14 次
- Humoto: A 4D Dataset of Mocap Human Object InteractionsJiaxin Lu, Chun-Hao Paul Huang, Uttaran Bhattacharya, Qixing Huang 等ICCV 2025 · 被引用 4 次
它引用的顶会 Paper22
- Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the LoopNikos Kolotouros, Georgios Pavlakos, Michael J. Black, Kostas DaniilidisICCV 2019 · 被引用 1,139 次
- PARE: Part Attention Regressor for 3D Human Body EstimationMuhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, Michael J. BlackICCV 2021 · 被引用 509 次
- HuMoR: 3D Human Motion Model for Robust Pose EstimationDavis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang 等ICCV 2021 · 被引用 398 次
- PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback LoopHongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang 等ICCV 2021 · 被引用 376 次
- ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose EstimationYongzhi Su, Mahdi Saleh, Torben Fetzer, Jason R. Rambach 等CVPR 2022 · 被引用 170 次
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