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<!doctype html>
<html lang="en">
<!-- === Header Starts === -->
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>GenForce</title>
<link href="./assets/bootstrap.min.css" rel="stylesheet">
<link href="./assets/font.css" rel="stylesheet" type="text/css">
<link href="./assets/style.css" rel="stylesheet" type="text/css">
</head>
<!-- === Header Ends === -->
<body>
<!-- === Homepage Starts === -->
<div class="homepage">
<!-- === Header Starts === -->
<div class="header">
<div class="logo">
<a href="https://github.com/genforce" target="_blank"><img src="./assets/genforce_logo_ucla.png"></a>
</div>
<div class="title">
Research Initiative on Generative Modeling
</div>
<div class="subtitle">
May Generative Force Be with You
</div>
</div>
<!-- === Header Ends === -->
<!-- === Project Section Starts === -->
<div class="section">Projects</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/PedGen/" target="_blank">
<img src="./projects/pedgen.gif">
</a>
</div>
<div class="info">
<b>Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels</b> <br>
Zhizheng Liu, Joe Lin, Wayne Wu, Bolei Zhou <br>
<i>Preprint (<b>arXiv</b>) , 2024</i> <br>
[<a href="https://arxiv.org/abs/2410.07500" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/PedGen/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/PedGen/" target="_blank">Code (coming soon!)</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/ctrl-x/" target="_blank">
<img src="./projects/ctrl-x.jpg">
</a>
</div>
<div class="info">
<b>Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance</b> <br>
Kuan Heng Lin*, Sicheng Mo*, Ben Klingher, Fangzhou Mu, Bolei Zhou <br>
<i>Neural Information Processing Systems (NeurIPS), 2024</i> <br>
[<a href="https://arxiv.org/abs/2406.07540" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/ctrl-x/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/ctrl-x/" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/freecontrol/" target="_blank">
<img src="./projects/freecontrol.jpg">
</a>
</div>
<div class="info">
<b>FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition</b> <br>
Sicheng Mo*, Fangzhou Mu*, Kuan Heng Lin, Yanli Liu, Bochen Guan, Yin Li, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2024</i> <br>
[<a href="https://arxiv.org/abs/2312.07536" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/freecontrol/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/freecontrol" target="_blank">Code</a>]
</div>
</div>
<!-- === Previous Projects Section Starts === -->
<div class="section">Previous Projects</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/dynamicd/" target="_blank">
<img src="./projects/dynamicd.png">
</a>
</div>
<div class="info">
<b>Improving GANs with A Dynamic Discriminator</b> <br>
Ceyuan Yang*, Yujun Shen*, Yinghao Xu, Deli Zhao, Bo Dai, Bolei Zhou <br>
<i>Neural Information Processing Systems (NeurIPS), 2022</i> <br>
[<a href="https://arxiv.org/pdf/2209.09897.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/dynamicd/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/dynamicd" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/volumegan/" target="_blank">
<img src="./projects/volumegan.png">
</a>
</div>
<div class="info">
<b>3D-aware Image Synthesis via Learning Structural and Textural Representations</b> <br>
Yinghao Xu, Sida Peng, Ceyuan Yang, Yujun Shen, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2022</i> <br>
[<a href="https://arxiv.org/pdf/2112.10759.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/volumegan/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/VolumegAN" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=p85TVGJBMFc" target="_blank">Demo</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/eqgan/" target="_blank">
<img src="./projects/eqgan.jpg">
</a>
</div>
<div class="info">
<b>Improving GAN Equilibrium by Raising Spatial Awareness</b> <br>
Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2022</i> <br>
[<a href="https://arxiv.org/pdf/2112.00718.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/eqgan-sa/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/eqgan-sa" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=k7sG4XY5rIc" target="_blank">Demo</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/genda/" target="_blank">
<img src="./projects/genda.jpg">
</a>
</div>
<div class="info">
<b>One-Shot Generative Domain Adaptation</b> <br>
Ceyuan Yang*, Yujun Shen*, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou <br>
<i>International Conference on Computer Vision (ICCV), 2023</i> <br>
[<a href="https://arxiv.org/pdf/2111.09876.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/genda/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/genda" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/insgen/" target="_blank">
<img src="./projects/insgen.jpg">
</a>
</div>
<div class="info">
<b>Data-Efficient Instance Generation from Instance Discrimination</b> <br>
Ceyuan Yang, Yujun Shen, Yinghao Xu, Bolei Zhou <br>
<i>Neural Information Processing Systems (NeurIPS), 2021</i> <br>
[<a href="https://arxiv.org/pdf/2106.04566.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/insgen/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/insgen" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/trgan/" target="_blank">
<img src="./projects/trgan.gif">
</a>
</div>
<div class="info">
<b>Unsupervised Image Transformation Learning via Generative Adversarial Networks</b> <br>
Kaiwen Zha, Yujun Shen, Bolei Zhou <br>
<i>arXiv.2103.07751 preprint</i> <br>
[<a href="https://arxiv.org/pdf/2103.07751.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/trgan/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/trgan" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=ZTYLihZYwYM" target="_blank">Demo</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/fairgen/" target="_blank">
<img src="./projects/fairgen.png">
</a>
</div>
<div class="info">
<b>Improving the Fairness of Deep Generative Models without Retraining</b> <br>
Shuhan Tan, Yujun Shen, Bolei Zhou <br>
<i>arXiv.2012.04842 preprint</i> <br>
[<a href="https://arxiv.org/pdf/2012.04842.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/fairgen/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/fairgen" target="_blank">Code</a>]
[<a href="https://colab.research.google.com/drive/1_k45KPpLP0xMqC8AjmUFerqdDCbkwN1l?usp=sharing" target="_blank">Colab</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://github.com/genforce/genforce" target="_blank">
<img src="./projects/genforce.gif">
</a>
</div>
<div class="info">
<b>GenForce Lib</b> <br>
Yujun Shen, Yinghao Xu, Ceyuan Yang, Jiapeng Zhu, Bolei Zhou <br>
<i>This is an <b>efficient PyTorch library</b> for deep generative modeling.</i> <br>
[<a href="https://github.com/genforce/genforce" target="_blank">Code</a>]
[<a href="https://colab.research.google.com/drive/1ytdR30L7uXLaG_4Iph331o70wZWA-bkd?usp=sharing"
target="_blank">Colab</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/ghfeat/" target="_blank">
<img src="./projects/ghfeat.jpg">
</a>
</div>
<div class="info">
<b>Generative Hierarchical Features from Synthesizing Images</b> <br>
Yinghao Xu*, Yujun Shen*, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2021 (<b>Oral</b>)</i> <br>
[<a href="https://arxiv.org/pdf/2007.10379.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/ghfeat/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/ghfeat" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/sefa/" target="_blank">
<img src="./projects/sefa.gif">
</a>
</div>
<div class="info">
<b>Closed-Form Factorization of Latent Semantics in GANs</b> <br>
Yujun Shen, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2021 (<b>Oral</b>)</i> <br>
[<a href="https://arxiv.org/pdf/2007.06600.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/sefa/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/sefa" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=OFHW2WbXXIQ" target="_blank">Demo</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/interfacegan/" target="_blank">
<img src="./projects/interfacegan2.png">
</a>
</div>
<div class="info">
<b>InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs</b> <br>
Yujun Shen, Ceyuan Yang, Xiaoou Tang, Bolei Zhou <br>
<i>IEEE Transactions on Pattern Recognition (TPAMI), Oct 2020</i> <br>
[<a href="https://arxiv.org/pdf/2005.09635.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/interfacegan/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/interfacegan" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=uoftpl3Bj6w" target="_blank">Demo</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/idinvert/" target="_blank">
<img src="./projects/idinvert.png">
</a>
</div>
<div class="info">
<b>In-Domain GAN Inversion for Real Image Editing</b> <br>
Jiapeng Zhu*, Yujun Shen*, Deli Zhao, Bolei Zhou <br>
<i>European Conference on Computer Vision (ECCV), 2020</i> <br>
[<a href="https://arxiv.org/pdf/2004.00049.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/idinvert/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/idinvert" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=3v6NHrhuyFY" target="_blank">Demo</a>]
[<a href="https://colab.research.google.com/github/genforce/idinvert_pytorch/blob/master/docs/Idinvert.ipynb"
target="_blank">Colab</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://github.com/genforce/lia" target="_blank">
<img src="./projects/lia.jpg">
</a>
</div>
<div class="info">
<b>Disentangled Inference for GANs with Latently Invertible Autoencoder</b> <br>
Jiapeng Zhu*, Deli Zhao*, Bo Zhang, Bolei Zhou <br>
<i>arXiv.1906.08090 preprint</i> <br>
[<a href="https://arxiv.org/pdf/1906.08090.pdf" target="_blank">Paper</a>]
[<a href="https://github.com/genforce/lia" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/higan/" target="_blank">
<img src="./projects/higan.gif">
</a>
</div>
<div class="info">
<b>Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis</b> <br>
Ceyuan Yang*, Yujun Shen*, Bolei Zhou <br>
<i>International Journal of Computer Vision (IJCV), 31 Dec 2020</i> <br>
[<a href="https://arxiv.org/pdf/1911.09267.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/higan/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/higan" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=X5yWu2Jwjpg" target="_blank">Demo</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/mganprior/" target="_blank">
<img src="./projects/mganprior.png">
</a>
</div>
<div class="info">
<b>Image Processing Using Multi-Code GAN Prior</b> <br>
Jinjin Gu, Yujun Shen, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2020</i> <br>
[<a href="https://arxiv.org/pdf/1912.07116.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/mganprior/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/mganprior" target="_blank">Code</a>]
</div>
</div>
<div class="project">
<div class="image">
<a href="https://genforce.github.io/interfacegan/" target="_blank">
<img src="./projects/interfacegan.gif">
</a>
</div>
<div class="info">
<b>Interpreting the Latent Space of GANs for Semantic Face Editing</b> <br>
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou <br>
<i>Computer Vision and Pattern Recognition (CVPR), 2020</i> <br>
[<a href="https://arxiv.org/pdf/1907.10786.pdf" target="_blank">Paper</a>]
[<a href="https://genforce.github.io/interfacegan/" target="_blank">Project Page</a>]
[<a href="https://github.com/genforce/interfacegan" target="_blank">Code</a>]
[<a href="https://www.youtube.com/watch?v=uoftpl3Bj6w" target="_blank">Demo</a>]
</div>
</div>
<!-- === Projects Section Ends === -->
<!-- === Tutorials Section Starts === -->
<div class="section">Tutorials</div>
<div class="tutorial">
<div class="image">
<a href="https://interpretablevision.github.io/" target="_blank">
<img src="./tutorials/cvpr21_tutorial_bolei.jpg">
</a>
</div>
<div class="info">
<b>Interpreting Deep Generative Models for Interactive AI Content Creation</b> <br>
Bolei Zhou <br>
<i>Interpretable Machine Learning for Computer Vision (CVPR'21 Tutorial)</i> <br>
[<a href="https://youtu.be/PtRU2B6Iml4" target="_blank">Video (YouTube)</a>]
[<a href="https://www.bilibili.com/video/BV13y4y1g7Fa/" target="_blank">Video (bilibili)</a>]
[<a href="https://interpretablevision.github.io/slide/cvpr21_zhou.pdf" target="_blank">Slides</a>]
</div>
</div>
<div class="tutorial">
<div class="image">
<a href="https://interpretablevision.github.io/" target="_blank">
<img src="./tutorials/cvpr20_tutorial_bolei.jpg">
</a>
</div>
<div class="info">
<b>Exploring and Exploiting Interpretable Semantics in GANs</b> <br>
Bolei Zhou <br>
<i>Interpretable Machine Learning for Computer Vision (CVPR'20 Tutorial)</i> <br>
[<a href="https://www.youtube.com/watch?v=rfx3whKgFVo&feature=youtu.be" target="_blank">Video (YouTube)</a>]
[<a href="https://www.bilibili.com/video/BV1z54y1B785" target="_blank">Video (bilibili)</a>]
[<a href="https://interpretablevision.github.io/slide/cvpr20_bolei.pdf" target="_blank">Slides</a>]
</div>
</div>
<div class="tutorial">
<div class="image">
<a href="https://interpretablevision.github.io/" target="_blank">
<img src="./tutorials/interfacegan_yujun.jpg">
</a>
</div>
<div class="info">
<b>Interpreting and Exploiting the Latent Space of GANs</b> <br>
Yujun Shen <br>
<i>Invited Talk by 机器之心</i> <br>
[<a href="https://www.bilibili.com/video/BV1fp4y1S7RH" target="_blank">Video (in Chinese)</a>]
</div>
</div>
<!-- === Tutorials Section Ends === -->
<!-- === Team Section Starts === -->
<div class="section">Team</div>
<div class="avatar">
<table>
<tr>
<td>Principal <br> Investigator</td>
<td>
<a href="http://bzhou.ie.cuhk.edu.hk/" target="_blank">
<div style="margin-top: 5pt;">Bolei Zhou</div>
</a>
</td>
</tr>
<tr>
<td>Previous Team <br> Members</td>
<td>
<a href="http://shenyujun.github.io/" target="_blank">
<div style="margin-top: 5pt;">Yujun Shen</div>
</a>
</td>
<td>
<a href="http://ceyuan.me/" target="_blank">
<div style="margin-top: 5pt;">Ceyuan Yang</div>
</a>
</td>
<td>
<a href="https://zhujiapeng.github.io/" target="_blank">
<div style="margin-top: 5pt;">Jiapeng Zhu</div>
</a>
</td>
<td>
<a href="https://justimyhxu.github.io/academic.html" target="_blank">
<div style="margin-top: 5pt;">Yinghao Xu</div>
</a>
</td>
<td>
<a href="https://ariostgx.github.io/website/" target="_blank">
<div style="margin-top: 5pt;">Shuhan Tan</div>
</a>
</td>
</tr>
</table>
</div>
<!-- === Team Section Ends === -->
<!-- === Acknowledgement Section Starts === -->
<div class="section"> </div>
<div class="acknowledgement"></div>
<!-- === Acknowledgement Section Ends === -->
</div>
<!-- === Homepage Ends === -->
</body>
</html>