Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

7 May 2019Tejas KhotShubham AgrawalShubham TulsianiChristoph MertzSimon LuceyMartial Hebert

We present a learning based approach for multi-view stereopsis (MVS). While current deep MVS methods achieve impressive results, they crucially rely on ground-truth 3D training data, and acquisition of such precise 3D geometry for supervision is a major hurdle... (read more)

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