Paper
11 October 2023 Multi-condition guided depth map completion method based on diffusion model
Ren Qian, Wenfeng Qiu, Wenbang Yang, Jianhua Li, Xin’an Wang, Yong Zhao
Author Affiliations +
Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129182D (2023) https://doi.org/10.1117/12.3009213
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China
Abstract
The diffusion model has been widely applied in various aspects of artificial intelligence due to its flexible and diverse generative performance. However, there is a lack of research on applying diffusion models in the field of depth map restoration. This is primarily because the diverse generation capabilities are not sufficient to meet the requirements for depth map completion. Depth map completion requires rational completion in the current scene. In order to adapt diffusion models for depth map completion tasks, this paper proposes the Multi Condition Diffusion Model (MCDM). It allows the addition of conditional information to constrain the model’s rational completion of ill-regions. The MultiConditionLN module effectively adds multiple conditions to the depth map completion task. This module uses the completion region mask and the input image as conditions to constrain the model’s generation process. This enables the model to complete the regions that need restoration based on the scene of the input image. The proposed model achieves promising results on depth map datasets.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ren Qian, Wenfeng Qiu, Wenbang Yang, Jianhua Li, Xin’an Wang, and Yong Zhao "Multi-condition guided depth map completion method based on diffusion model", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129182D (11 October 2023); https://doi.org/10.1117/12.3009213
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KEYWORDS
Depth maps

Diffusion

Data modeling

Image restoration

Process modeling

Performance modeling

Visual process modeling

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