Research Initiative on Generative Modeling
May Generative Force Be with You
Projects
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
Sicheng Mo*, Fangzhou Mu*, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou
[Paper] [Project Page] [Code]
Previous Projects
Improving GANs with A Dynamic Discriminator
Ceyuan Yang*, Yujun Shen*, Yinghao Xu, Deli Zhao, Bo Dai, Bolei Zhou
Neural Information Processing Systems (NeurIPS), 2022
[Paper] [Project Page] [Code]
3D-aware Image Synthesis via Learning Structural and Textural Representations
Yinghao Xu, Sida Peng, Ceyuan Yang, Yujun Shen, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Project Page] [Code] [Demo]
Improving GAN Equilibrium by Raising Spatial Awareness
Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Project Page] [Code] [Demo]
One-Shot Generative Domain Adaptation
Ceyuan Yang*, Yujun Shen*, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou
International Conference on Computer Vision (ICCV), 2023
[Paper] [Project Page] [Code]
Data-Efficient Instance Generation from Instance Discrimination
Ceyuan Yang, Yujun Shen, Yinghao Xu, Bolei Zhou
Neural Information Processing Systems (NeurIPS), 2021
[Paper] [Project Page] [Code]
Unsupervised Image Transformation Learning via Generative Adversarial Networks
Kaiwen Zha, Yujun Shen, Bolei Zhou
arXiv.2103.07751 preprint
[Paper] [Project Page] [Code] [Demo]
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan, Yujun Shen, Bolei Zhou
arXiv.2012.04842 preprint
[Paper] [Project Page] [Code] [Colab]
GenForce Lib
Yujun Shen, Yinghao Xu, Ceyuan Yang, Jiapeng Zhu, Bolei Zhou
This is an efficient PyTorch library for deep generative modeling.
[Code] [Colab]
Generative Hierarchical Features from Synthesizing Images
Yinghao Xu*, Yujun Shen*, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2021 (Oral)
[Paper] [Project Page] [Code]
Closed-Form Factorization of Latent Semantics in GANs
Yujun Shen, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2021 (Oral)
[Paper] [Project Page] [Code] [Demo]
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zhou
IEEE Transactions on Pattern Recognition (TPAMI), Oct 2020
[Paper] [Project Page] [Code] [Demo]
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] [Colab]
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
International Journal of Computer Vision (IJCV), 31 Dec 2020
[Paper] [Project Page] [Code] [Demo]
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]
Tutorials
Interpreting Deep Generative Models for Interactive AI Content Creation
Bolei Zhou
Interpretable Machine Learning for Computer Vision (CVPR'21 Tutorial)
[Video (YouTube)] [Video (bilibili)] [Slides]
Exploring and Exploiting Interpretable Semantics in GANs
Bolei Zhou
Interpretable Machine Learning for Computer Vision (CVPR'20 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
Previous Team
Members
Yujun Shen
Ceyuan Yang
Jiapeng Zhu
Yinghao Xu
Shuhan Tan