18 citations · 19 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 18 cited
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Minguk Kang, Woohyeon Shim, Minsu Cho +1
Conditional Generative Adversarial Networks (cGAN) generate realistic images by incorporating class information into GAN. While one of the most popular cGANs is an auxiliary classi…
cs.CV2021
Learning to Discover Reflection Symmetry via Polar Matching Convolution
Ahyun Seo, Woohyeon Shim, Minsu Cho
The task of reflection symmetry detection remains challenging due to significant variations and ambiguities of symmetry patterns in the wild. Furthermore, since the local regions a…
cs.CV2020★ 1 cited
CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim, Minsu Cho
We present a novel discriminator for GANs that improves realness and diversity of generated samples by learning a structured hypersphere embedding space using spherical circles. Th…