ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions

Abstract

and context, leading to synthesizing interesting phenomena in scenes, such as reflections of landscapes onto water or flora consistent with the rest of the landscape, that were not possible to generate reliably with previous convnets and transformer approaches. We present qualitative and quantitative results, along with user studies, demonstrating the effectiveness of our method. Our code and dataset are available at our project page: https://github.com/DifanLiu/ASSET CCS Concepts: • Computing methodologies → Image processing; Neural networks; Image representations.