Conditional image synthesis from layout has recently attracted much interest.
Previous approaches condition the generator on object locations as well as
class labels but lack fine-grained control over the diverse appearance aspects
of individual objects. Gaining control over the image generation process is
fundamental to build practical applications with a user-friendly interface. In
this paper, we propose a method for attribute controlled image synthesis from
layout which allows to specify the appearance of individual objects without
affecting the rest of the image. We extend a state-of-the-art approach for
layout-to-image generation to additionally condition individual objects on
attributes. We create and experiment on a synthetic, as well as the challenging
Visual Genome dataset. Our qualitative and quantitative results show that our
method can successfully control the fine-grained details of individual objects
when modelling complex scenes with multiple objects. Source code, dataset and
pre-trained models are publicly available
(this https URL).

本文提出了一种从布局生成图像的方法，可以对单个对象的出现进行属性控制，从而提高对多个对象场景的建模。