8 citations · 9 across the 2 of their papers we have counts for
1 paper · 1 filter
Haoran Li, Long Ma, Haolin Shi +4
The current GAN inversion methods typically can only edit the appearance and shape of a single object and background while overlooking spatial information. In this work, we propose…