Depth map super-resolution via Markov Random Fields without texture-copying artifacts-Reference-Cited by-同舟云学术

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Depth map super-resolution via Markov Random Fields without texture-copying artifacts

Published:2013-05 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Acoustics, Speech and Signal Processing
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Author:

Lo Kai-Han,Hua Kai-Lung,Wang Yu-Chiang Frank

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6619549/6637585/06637884.pdf?arnumber=6637884

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Depth map super-resolution via learned nonlocal model and enhanced local regularization;Signal Processing;2024-05

2. Guided Depth Map Super-Resolution: A Survey;ACM Computing Surveys;2023-07-17

3. Surface normal and Gaussian weight constraints for indoor depth structure completion;Pattern Recognition;2023-06

4. Multiscale Attention Fusion for Depth Map Super-Resolution Generative Adversarial Networks;Entropy;2023-05-23

5. MCGAN: mask controlled generative adversarial network for image retargeting;Neural Computing and Applications;2023-02-17

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