Towards Domain-agnostic Depth Completion
Guangkai Xu1;  Wei Yin4;  Jianming Zhang3;  Oliver Wang3; Simon Niklaus3;  Simon Chen3;  Jia-Wang Bian2
刊名Machine Intelligence Research
2024
卷号21期号:4页码:652-669
关键词Monocular depth estimation depth completion zero-shot generalization scene reconstruction neural network
ISSN号2731-538X
DOI10.1007/s11633-024-1494-4
英文摘要Existing depth completion methods are often targeted at a specific sparse depth type and generalize poorly across task do mains. 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.
内容类型期刊论文
源URL[http://ir.ia.ac.cn/handle/173211/58565]  
专题自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位1.Zhejiang University, Hangzhou 310058, China
2.University of Oxford, Oxford OX1 2JD, UK
3.Adobe Research, California 95110, USA
4.DaJiang Technology, Shenzhen 518057, China
推荐引用方式
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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