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StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset | |
2024-07-30 | |
状态 | 已发表 |
摘要 | Modeling and capturing the 3D spatial arrangement of the human and the object is the key to perceiving 3D human-object interaction from monocular images. In this work, we propose to use the HumanObject Offset between anchors which are densely sampled from the surface of human mesh and object mesh to represent human-object spatial relation. Compared with previous works which use contact map or implicit distance filed to encode 3D human-object spatial relations, our method is a simple and efficient way to encode the highly detailed spatial correlation between the human and object. Based on this representation, we propose Stacked Normalizing Flow (StackFLOW) to infer the posterior distribution of human-object spatial relations from the image. During the optimization stage, we finetune the human body pose and object 6D pose by maximizing the likelihood of samples based on this posterior distribution and minimizing the 2D-3D corresponding reprojection loss. Extensive experimental results show that our method achieves impressive results on two challenging benchmarks, BEHAVE and InterCap datasets. |
DOI | arXiv:2407.20545 |
相关网址 | 查看原文 |
出处 | Arxiv |
WOS记录号 | PPRN:91196313 |
WOS类目 | Computer Science, Software Engineering |
文献类型 | 预印本 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/408315 |
专题 | 信息科学与技术学院_PI研究组_石野组 信息科学与技术学院_PI研究组_虞晶怡组 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_许岚组 信息科学与技术学院_PI研究组_马月昕 信息科学与技术学院_PI研究组_汪婧雅组 |
通讯作者 | Wang, Jingya |
作者单位 | 1.ShanghaiTech Univ, Shanghai, Peoples R China 2.Shanghai Engn Res Ctr Intelligent Vis & Imaging, Shanghai, Peoples R China |
推荐引用方式 GB/T 7714 | Huo, Chaofan,Shi, Ye,Ma, Yuexin,et al. StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset. 2024. |
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