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Unsupervised learning predicts human perception and misperception of gloss

2020-04-07

Abstract excerpt

Reflectance, lighting, and geometry combine in complex ways to create images. How do we disentangle these to perceive individual properties, like surface glossiness? We suggest that brains disentangle properties by learning to model statistical structure in proximal images. To test this, we trained unsupervised generative neural networks on renderings of glossy surfaces and compared their representations with huma...

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Identifiers and source

Literature Corpus work
5ce4712d-e24e-5575-8fc6-6bda3f79869c
DOI
10.1101/2020.04.07.026120
Open publication

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Unsupervised learning predicts human perception and misperception of glossDOI 10.1101/2020.04.07.026120
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