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deep-video-mvs reviews and mentions
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helpful pointers to state-of-the-art material for depth estimation from multi-view videos captured from cameras with arbitrary poses.
If deep learning is an option, then you might want to check out http://zak.murez.com/atlas/, https://zju3dv.github.io/neuralrecon/, https://github.com/ardaduz/deep-video-mvs and the references therein. These methods can be better than classical ones, especially if overfitted on a specific type of scene.
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ardaduz/deep-video-mvs is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of deep-video-mvs is Python.
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