Single Image Depth Prediction Made Better: A Multivariate Gaussian Take-Reference-Cited by-同舟云学术

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Single Image Depth Prediction Made Better: A Multivariate Gaussian Take

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Liu Ce¹,Kumar Suryansh¹,Gu Shuhang²,Timofte Radu¹,Van Gool Luc¹

Affiliation:

1. CVL ETH Zürich

2. UESTC China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205164.pdf?arnumber=10205164

Reference78 articles.

1. Depth map prediction from a single image using a multi -scale deep network;eigen;Advances in neural information processing systems,2014

2. Dense Depth Priors for Neural Radiance Fields from Sparse Input Views

3. ImageNet: A large-scale hierarchical image database

4. Stable View Synthesis

5. Multi-View Stereo: A Tutorial

Cited by 3 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. Learning Cross-modality Interaction for Robust Depth Perception of Autonomous Driving;ACM Transactions on Intelligent Systems and Technology;2024-04-15

2. CamRaDepth: Semantic Guided Depth Estimation Using Monocular Camera and Sparse Radar for Automotive Perception;IEEE Sensors Journal;2023-11-15

3. V2Depth: Monocular Depth Estimation via Feature-Level Virtual-View Simulation and Refinement;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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