no code implementations • CVPR 2022 • Sang-Heon Shim, Sangeek Hyun, DaeHyun Bae, Jae-Pil Heo
To address this, we propose a novel attention module, Local Attention Pyramid (LAP) module tailored for scene image synthesis, that encourages GANs to generate diverse object classes in a high quality by explicit spread of high attention scores to local regions, since objects in scene images are scattered over the entire images.