Paper Summary: SinGAN Learning a Generative Model from a Single Natural Image (ICCV 19 Best Paper)

This paper proposes a novel GAN training technique to obtain a generative model that can be learned using a single image. Unlike some of the previous works that used single image for training for a single task, the model can be used for unconditional generative modelling, not limited to texture images. This paper also got the best paper award in ICCV 2019.

Avatar
Aarush Gupta
Senior at IIT Roorkee

My research interests include distributed robotics, mobile computing and programmable matter.