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DEEPSTEREO: LEARNING TO PREDICT NEW VIEWS FROM REAL WORLD IMAGERY
DEEPSTEREO: LEARNING TO PREDICT NEW VIEWS FROM REAL WORLD IMAGERY
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机译:DEEPSTEREO:从真实世界的想象中学习预测新观点
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摘要
A system and method of deep learning using deep networks to predict new views from existing images may generate and improve models and representations from large-scale data. This system and method of deep learning may employ a deep architecture performing new view synthesis directly from pixels, trained from large numbers of posed image sets. A system employing this type of deep network may produce pixels of an unseen view based on pixels of neighboring views, lending itself to applications in graphics generation.
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