Diverse Single Image Generation with Controllable Global Structure. (arXiv:2102.04780v3 [cs.CV] UPDATED)

Image generation from a single image using generative adversarial networks is
quite interesting due to the realism of generated images. However, recent
approaches need improvement for such realistic and diverse image generation,
when the global context of the image is important such as in face, animal, and
architectural image generation. This is mainly due to the use of fewer
convolutional layers for mainly capturing the patch statistics and, thereby,
not being able to capture global statistics very well. We solve …

arxiv cv global