ComboGAN: Unrestrained Scalability for Image Domain Translation

This year alone has seen unprecedented leaps in the area of learning-based image translation, namely CycleGAN, by Zhu et al. But experiments so far have been tailored to merely two domains at a time, and scaling them to more would require an quadratic number of models to be trained... (read more)

Results in Papers With Code
(↓ scroll down to see all results)