Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior-Reference-Cited by-同舟云学术

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Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior

Published:2023-10-01 Issue: Volume: Page:12321-12330
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Dai Yuhui¹,Zhang Junkang¹,Fang Faming¹,Zhang Guixu¹

Affiliation:

1. East China Normal University,School of Computer Science and Technology

Funder

East China Normal University

National Natural Science Foundation of China

Shanghai Rising-Star Program

Science and Technology Commission of Shanghai Municipality

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377548.pdf?arnumber=10377548

Reference41 articles.

1. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

2. An Algorithm for Total Variation Minimization and Applications

3. Depth Completion Using Geometry-Aware Embedding

4. CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion

5. Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network

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