Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
Deep CG2Real: Synthetic-to-Real Translation via Image Disentanglement
We present a method to improve the visual realism of low-quality, synthetic images, e.g. OpenGL renderings. Training an unpaired synthetic-to-real translation network in image space is severely under-constrained and produces visible artifacts. Instead, we propose a semi-supervised approach that operates on the disentangled shading and albedo layers of the image. …