Unsupervised learning reveals interpretable latent representations for translucency perception
Fig 6
Visualization of the generative process of the network.
Impression of translucency emerges at the early stages of the image synthesis process while more details of the appearance are added in the later stages. Each row corresponds to the intermediate generative outputs from a sequence of tRGB layers at different spatial resolutions in StyleGAN2-ADA’s generative network. Translucency-related features are established as early as 32 pixels × 32 pixels (layers 7 and 8) and 64 pixels × 64 pixels (layer 9). The surface reflective properties such as specular highlights are only clearly visible at 128 pixels × 128 pixels (layers 11 to 12). The body color of the soap was finalized at the resolution of 1024 pixels × 1024 pixels (layers 17 to 18).