A Sparsity-Invariant Model via Unifying Depth Prediction and Completion

A Sparsity-Invariant Model via Unifying Depth Prediction and Completion

The development of a sparse-invariant depth completion model capable of handling varying levels of input depth sparsity is highly desirable in real-world applications. However, existing sparse-invariant models tend to degrade when the input depth points are extremely sparse. In this paper, we propos...

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Bibliographic Details
Main Authors: Shuling Wang, Fengze Jiang, Xiaojin Gong
Format: Article
Language:English
Published: MDPI AG 2024-07-01
Series:Algorithms
Subjects:
sparsity invariant
depth completion
depth prediction
Online Access:https://www.mdpi.com/1999-4893/17/7/298

Internet

https://www.mdpi.com/1999-4893/17/7/298

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