Boosting Monocular Depth Estimation to High Resolution (CVPR 2021)

CVPR 2021

Boosting Monocular Depth Estimation to High Resolution (CVPR 2021)

Jun 01, 2021
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We generate high-resolution depth estimations from a single image by using pre-trained networks in different resolutions. Check out the project web page here: http://yaksoy.github.io/highresdepth/ Our code and trained models are available: https://github.com/compphoto/BoostingMonocularDepth Video by Ari Blondal, an undergraduate student at SFU. Check out his Youtube channel: https://www.youtube.com/user/ariblondal Full citation: S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, Sylvain Paris, and Yağız Aksoy, "Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging", Proc. CVPR, 2021

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