87 citations · 719 across the 60 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CV2019★ 11 cited
Image Processing Using Multi-Code GAN Prior
Jinjin Gu, Yujun Shen, Bolei Zhou
Despite the success of Generative Adversarial Networks (GANs) in image synthesis, applying trained GAN models to real image processing remains challenging. Previous methods typical…
cs.CV2019★ 42 cited
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
Ceyuan Yang, Yujun Shen, Bolei Zhou
Despite the success of Generative Adversarial Networks (GANs) in image synthesis, there lacks enough understanding on what generative models have learned inside the deep generative…
cs.CV2019★ 74 cited
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen, Jinjin Gu, Xiaoou Tang +1
Despite the recent advance of Generative Adversarial Networks (GANs) in high-fidelity image synthesis, there lacks enough understanding of how GANs are able to map a latent code sa…