An ensemble of GAN-based image refiners conditioned on g-buffers produces synthetic training data that yields higher classifier accuracy than full global illumination rendering, approaching real-data performance.
Imagenet: A large-scale hierarchi- cal image database
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Beyond Photo Realism for Domain Adaptation from Synthetic Data
An ensemble of GAN-based image refiners conditioned on g-buffers produces synthetic training data that yields higher classifier accuracy than full global illumination rendering, approaching real-data performance.