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Towards Domain-agnostic Depth Completion
Guangkai Xu1;  Wei Yin2;  Jianming Zhang3;  Oliver Wang3; Simon Niklaus3;  Simon Chen3;  Jia-Wang Bian4
发表期刊Machine Intelligence Research
ISSN2731-538X
2024
卷号21期号:4页码:652-669
摘要Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task domains. We present a method to complete sparse/semi-dense, noisy, and potentially low-resolution depth maps obtained by various range sensors, including those in modern mobile phones, or by multi-view reconstruction algorithms. Our method leverages a data-driven prior in the form of a single image depth prediction network trained on large-scale datasets, the output of which is used as an input to our model. We propose an effective training scheme where we simulate various sparsity patterns in typical task domains. In addition, we design two new benchmarks to evaluate the generalizability and robustness of depth completion methods. Our simple method shows superior cross-domain generalization ability against state-of-the-art depth completion methods, introducing a practical solution to high quality depth capture on a mobile device.
关键词Monocular depth estimation depth completion zero-shot generalization scene reconstruction neural network
DOI10.1007/s11633-024-1494-4
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文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/58565
专题学术期刊_Machine Intelligence Research
作者单位1.Zhejiang University, Hangzhou 310058, China
2.DaJiang Technology, Shenzhen 518057, China
3.Adobe Research, California 95110, USA
4.University of Oxford, Oxford OX1 2JD, UK
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GB/T 7714
Guangkai Xu, Wei Yin, Jianming Zhang,et al. Towards Domain-agnostic Depth Completion[J]. Machine Intelligence Research,2024,21(4):652-669.
APA Guangkai Xu., Wei Yin., Jianming Zhang., Oliver Wang.,Simon Niklaus.,...& Jia-Wang Bian.(2024).Towards Domain-agnostic Depth Completion.Machine Intelligence Research,21(4),652-669.
MLA Guangkai Xu,et al."Towards Domain-agnostic Depth Completion".Machine Intelligence Research 21.4(2024):652-669.
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