SAC-GAN: Structure-Aware Image Composition
SAC-GAN: Structure-Aware Image Composition
We introduce an end-to-end learning framework for <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">image-to-image composition</i> , aiming to plausibly compose an object represented as a cropped patch from an object image into a background scene image. As our approach emphasizes more on semantic and structural coherence of the composed images, rather than their pixel-level …