公开(公告)号：US11762951B2

公开(公告)日：2023-09-19

申请号：US16951782

申请日：2020-11-18

申请人： Adobe Inc.

发明人： Elya Shechtman ,  William Peebles ,  Richard Zhang ,  Jun-Yan Zhu ,  Alyosha Efros

IPC分类号： G06F18/21 ,  G06N3/08 ,  G06T3/00 ,  G06F18/214 ,  G06N3/045

CPC分类号： G06F18/217 ,  G06F18/214 ,  G06N3/045 ,  G06N3/08 ,  G06T3/0068

摘要： Embodiments are disclosed for generative image congealing which provides an unsupervised learning technique that learns transformations of real data to improve the image quality of GANs trained using that image data. In particular, in one or more embodiments, the disclosed systems and methods comprise generating, by a spatial transformer network, an aligned real image for a real image from an unaligned real dataset, providing, by the spatial transformer network, the aligned real image to an adversarial discrimination network to determine if the aligned real image resembles aligned synthetic images generated by a generator network, and training, by a training manager, the spatial transformer network to learn updated transformations based on the determination of the adversarial discrimination network.