Generative Adversarial Networks for Unsupervised Monocular Depth Prediction

Filippo Aleotti; Fabio Tosi; Matteo Poggi; Stefano Mattoccia

doi:10.1007/978-3-030-11009-3_20

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Generative Adversarial Networks for Unsupervised Monocular Depth Prediction

Filippo Aleotti Fabio Tosi Matteo Poggi Stefano Mattoccia

Year: 2019 Lecture notes in computer science Pages: 337-354 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-11009-3_20

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Keywords:

Computer science Epipolar geometry Discriminator Artificial intelligence Monocular Generator (circuit theory) Benchmark (surveying) Image (mathematics) Deep learning Task (project management) Computer vision Generative grammar Machine learning Power (physics)

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Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Generative Adversarial Networks for Unsupervised Monocular Depth Prediction

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