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SimpleProc: Fully Procedural Synthetic Data from Simple Rules for Multi-View Stereo
Generating procedural synthetic data for multi-view stereo (MVS) usually requires writing complex rules to match the realism of curated datasets. We demonstrate that we can generate effective training data using SimpleProc: a new, fully procedural generator driven by a very small set of rules based
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