CVPR2021

Image Generators With Conditionally-Independent Pixel Synthesis

Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov

摘要

Figure 1: Samples from our generators trained on several challenging datasets (LSUN Churches, FFHQ, Landscapes, Satellite-Buildings, Satellite-Landscapes) at resolution 256 × 256. The images are generated without spatial convolutions, upsampling, or self-attention operations. No interaction between pixels takes place during inference.