Research Initiative on Generative Modeling
May Generative Force Be with You
Projects
Generative Hierarchical Features from Synthesizing Images
Yinghao Xu*, Yujun Shen*, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou
arXiv. preprint
[Paper] [Project Page] [Code]
Closed-Form Factorization of Latent Semantics in GANs
Yujun Shen, Bolei Zhou
arXiv.2007.06600 preprint
[Paper] [Project Page] [Code] [Demo Video]
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zhou
arXiv.2005.09635 preprint
[Paper] [Project Page] [Code] [Demo Video]
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu*, Yujun Shen*, Deli Zhao, Bolei Zhou
European Conference on Computer Vision (ECCV), 2020
[Paper] [Project Page] [Code] [Demo Video]
Disentangled Inference for GANs with Latently Invertible Autoencoder
Jiapeng Zhu*, Deli Zhao*, Bo Zhang, Bolei Zhou
arXiv.1906.08090 preprint
[Paper] [Code]
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
Ceyuan Yang*, Yujun Shen*, Bolei Zhou
arXiv.1911.09267 preprint
[Paper] [Project Page] [Code] [Demo Video]
Image Processing Using Multi-Code GAN Prior
Jinjin Gu, Yujun Shen, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2020
[Paper] [Project Page] [Code]
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2020
[Paper] [Project Page] [Code] [Demo Video]
Tutorials
Exploring and Exploiting Interpretable Semantics in GANs
Bolei Zhou
Interpretable Machine Learning for Computer Vision (CVPR 2020 Tutorial)
[Video (YouTube)] [Video (bilibili)] [Slides]
Interpreting and Exploiting the Latent Space of GANs
Yujun Shen
Invited Talk by 机器之心
[Video (in Chinese)]
Team
Principal
Investigator
Bolei Zhou
Team
Members
Yujun Shen
Ceyuan Yang
Jiapeng Zhu
Yinghao Xu
Jinjin Gu