Timezone: »
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. The proposed discriminator learns to populate realistic samples around the longest spherical circle, i.e., a great circle, while pushing unrealistic samples toward the poles perpendicular to the great circle. Since longer circles occupy larger area on the hypersphere, they encourage more diversity in representation learning, and vice versa. Discriminating samples based on their corresponding spherical circles can thus naturally induce diversity to generated samples. We also extend the proposed method for conditional settings with class labels by creating a hypersphere for each category and performing class-wise discrimination and update. In experiments, we validate the effectiveness for both unconditional and conditional generation on standard benchmarks, achieving the state of the art.
Author Information
Woohyeon Shim (Postech)
Minsu Cho (POSTECH)
More from the Same Authors
-
2020 : Combinatorial 3D Shape Generation via Sequential Assembly »
Jungtaek Kim · Hyunsoo Chung · Jinhwi Lee · Minsu Cho · Jaesik Park -
2022 : SeLCA: Self-Supervised Learning of Canonical Axis »
Seungwook Kim · Yoonwoo Jeong · Chunghyun Park · Jaesik Park · Minsu Cho -
2023 Poster: Activity Grammars for Temporal Action Segmentation »
Dayoung Kong · Joonseok Lee · Deunsol Jung · Suha Kwak · Minsu Cho -
2023 Poster: Locality-Aware Generalizable Implicit Neural Representation »
Doyup Lee · Chiheon Kim · Minsu Cho · WOOK SHIN HAN -
2022 Poster: PeRFception: Perception using Radiance Fields »
Yoonwoo Jeong · Seungjoo Shin · Junha Lee · Chris Choy · Anima Anandkumar · Minsu Cho · Jaesik Park -
2022 Poster: Peripheral Vision Transformer »
Juhong Min · Yucheng Zhao · Chong Luo · Minsu Cho -
2022 Poster: Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer »
Doyup Lee · Chiheon Kim · Saehoon Kim · Minsu Cho · WOOK SHIN HAN -
2021 Poster: Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning »
Hyunsoo Chung · Jungtaek Kim · Boris Knyazev · Jinhwi Lee · Graham Taylor · Jaesik Park · Minsu Cho -
2021 Poster: Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training »
Minguk Kang · Woohyeon Shim · Minsu Cho · Jaesik Park -
2021 Poster: Relational Self-Attention: What's Missing in Attention for Video Understanding »
Manjin Kim · Heeseung Kwon · CHUNYU WANG · Suha Kwak · Minsu Cho -
2019 Poster: Mining GOLD Samples for Conditional GANs »
Sangwoo Mo · Chiheon Kim · Sungwoong Kim · Minsu Cho · Jinwoo Shin