reference.bib

% @STRING{CVPR = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}}
% @STRING{ICCV = {IEEE International Conference on Computer Vision (ICCV)}}
% @STRING{ECCV = {European Conference on Computer Vision (ECCV)}}
% @STRING{ICCP = {IEEE International Conference on Computational Photography (ICCP)}}
% @STRING{CVPRW = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop}}
% @STRING{ICCVW = {IEEE International Conference on Computer Vision (ICCV) Workshop}}
% @STRING{ECCVW = {European Conference on Computer Vision (ECCV) Workshop}}
% @STRING{ICLR = {International Conference on Learning Representations (ICLR)}}
% @STRING{DV = {International Conference on 3D Vision (3DV)}}
% @STRING{CORL = {Conference on Robot Learning (CoRL)}}
% @STRING{MM = {ACM International Conference on Multimedia (MM)}}

% @STRING{IJCV = {International Journal of Computer Vision (IJCV)}}
% @STRING{TIP = {IEEE Transactions on Image Processing (TIP)}}
% @STRING{TVCG = {IEEE Transactions on Visualization and Computer Graphics (TVCG)}}
% @STRING{PAMI = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)}}
% @STRING{NIPS = {Conference on Neural Information Processing Systems (NeurIPS)}}
% @STRING{ICML = {International Conference on Machine Learning (ICML)}}
% @STRING{SIG = {ACM SIGGRAPH}}
% @STRING{SIGA = {ACM SIGGRAPH Asia}}
% @STRING{TOG = {ACM Transactions on Graphics (TOG)}}
% @STRING{EGSR = {Eurographics Symposium on Rendering (EGSR)}}
% @STRING{ICM = {Proceedings of the International Congress of Mathematicians (ICM)}}
% @STRING{AISTATS = {Artificial Intelligence and Statistics}}

@STRING{CVPR = {CVPR}}
@STRING{ICCV = {ICCV}}
@STRING{ECCV = {ECCV}}
@STRING{ICCP = {ICCP}}
@STRING{CVPRW = {CVPR Workshop}}
@STRING{ICCVW = {ICCV Workshop}}
@STRING{ECCVW = {ECCV Workshop}}
@STRING{ICLR = {ICLR}}
@STRING{DV = {3DV}}
@STRING{CORL = {CoRL}}
@STRING{MM = {MM}}
@STRING{NeurIPS = {NeurIPS}}
@STRING{ICML = {ICML}}
@STRING{BMVC = {BMVC}}
@STRING{AAAI = {AAAI}}
@STRING{IJCAI = {IJCAI}}

@STRING{IJCV = {IJCV}}
@STRING{TIP = {TIP}}
@STRING{TVCG = {TVCG}}
@STRING{PAMI = {TPAMI}}
@STRING{SIG = {SIGGRAPH}}
@STRING{SIGA = {SIGGRAPH Asia}}
@STRING{TOG = {TOG}}
@STRING{EGSR = {EGSR}}
@STRING{CVIU = {CVIU}}

% survey
@article{xia2022gan,
  author  = {Xia, Weihao and Zhang, Yulun and Yang, Yujiu and Xue, Jing-Hao and Zhou, Bolei and Yang, Ming-Hsuan},
  title   = {GAN Inversion: A Survey},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
  year={2022}
  }

% gan models
@InProceedings{karras2019style,
  author    = {Karras, Tero and Laine, Samuli and Aila, Timo},
  title     = {A style-based generator architecture for generative adversarial networks},
  booktitle = {CVPR},
  year      = {2019},
  pages     = {4401--4410}
}

@inproceedings{karras2020analyzing,
  title={Analyzing and improving the image quality of {StyleGAN}},
  author={Karras, Tero and Laine, Samuli and Aittala, Miika and Hellsten, Janne and Lehtinen, Jaakko and Aila, Timo},
  booktitle={CVPR},
  year={2020}
}

@inproceedings{Karras2020ada,
  title     = {Training Generative Adversarial Networks with Limited Data},
  author    = {Tero Karras and Miika Aittala and Janne Hellsten and Samuli Laine and Jaakko Lehtinen and Timo Aila},
  booktitle = {NeurIPS},
  year      = {2020}
}

@inproceedings{gu2021stylenerf,
    title={{StyleNeRF}: A Style-based {3D}-Aware Generator for High-resolution Image Synthesis}, 
    author={Jiatao Gu and Lingjie Liu and Peng Wang and Christian Theobalt},
    booktitle={ICLR},
    year={2022},
}

@inproceedings{chan2021pi,
  title={pi-{GAN}: Periodic implicit generative adversarial networks for 3d-aware image synthesis},
  author={Chan, Eric R and Monteiro, Marco and Kellnhofer, Petr and Wu, Jiajun and Wetzstein, Gordon},
  booktitle={CVPR},
  year={2021}
}


@inproceedings{Karras2021free,
  author = {Tero Karras and Miika Aittala and Samuli Laine and Erik H\"{a}rk\"{o}nen and Janne Hellsten and Jaakko Lehtinen and Timo Aila},
  title = {Alias-Free Generative Adversarial Networks},
  booktitle = {NeurIPS},
  year = {2021}
}

% inversion methods and latent editing techniques
@inproceedings{10.1145/3474085.3475454,
  author = {Liang, Hanbang and Hou, Xianxu and Shen, Linlin},
  title = {SSFlow: Style-Guided Neural Spline Flows for Face Image Manipulation},
  year = {2021},
  url = {https://doi.org/10.1145/3474085.3475454},
  doi = {10.1145/3474085.3475454},
  booktitle = {Proceedings of the 29th ACM International Conference on Multimedia},
  pages = {79-87},
  numpages = {9}
}

@inproceedings{Aoshima_2023_CVPR,
  author    = {Aoshima, Takehiro and Matsubara, Takashi},
  title     = {Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  month     = {June},
  year      = {2023},
  pages     = {5957-5967}
}

@inproceedings{wang2021high,
  title={High-Fidelity GAN Inversion for Image Attribute Editing},
  author={Wang, Tengfei and Zhang, Yong and Fan, Yanbo and Wang, Jue and Chen, Qifeng},
  booktitle = {CVPR},
  year={2022}
}

@article{bai2022high,
  title   = {High-fidelity GAN Inversion with Padding Space},
  author  = {Bai, Qingyan and Xu, Yinghao and Zhu, Jiapeng and Xia, Weihao and Yang, Yujiu and Shen, Yujun},
  journal = {arXiv preprint arXiv:2203.11105},
  year    = {2022}
}

@article{zhu2019disentangled,
  title={Disentangled inference for {GAN}s with latently invertible autoencoder},
  author={Zhu, Jiapeng and Zhao, Deli and Zhang, Bo and Zhou, Bolei},
  journal={IJCV},
  year={2022}
}

@article{roich2021pivotal,
  title={Pivotal Tuning for Latent-based Editing of Real Images},
  author={Roich, Daniel and Mokady, Ron and Bermano, Amit H and Cohen-Or, Daniel},
  journal={arXiv preprint arXiv:2106.05744},
  year={2021}
}

@inproceedings{hu2022style,
  title={Style Transformer for Image Inversion and Editing},
  author={Hu, Xueqi and Huang, Qiusheng and Shi, Zhengyi and Li, Siyuan and Gao, Changxin and Sun, Li and Li, Qingli},
  booktitle={CVPR},
  year={2022}
}

@inproceedings{dinh2021hyperinverter,
  title={HyperInverter: Improving StyleGAN Inversion via Hypernetwork},
  author={Dinh, Tan M and Tran, Anh Tuan and Nguyen, Rang and Hua, Binh-Son},
  booktitle={CVPR},
  year={2022}
}

@inproceedings{alaluf2021hyperstyle,
    title={HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing},
    author={Yuval Alaluf and Omer Tov and Ron Mokady and Rinon Gal and Amit H. Bermano},
    booktitle={CVPR},
    year={2022},
}


@inproceedings{xu2021continuity,
  title={From Continuity to Editability: Inverting {GANs} with Consecutive Images},
  author={Xu, Yangyang and Du, Yong and Xiao, Wenpeng and Xu, Xuemiao and He, Shengfeng},
  booktitle={ICCV},
  year={2021}
}

@inproceedings{abdal2019image2stylegan,
  title={{Image2StyleGAN}: How to embed images into the {StyleGAN} latent space?},
  author={Abdal, Rameen and Qin, Yipeng and Wonka, Peter},
  booktitle={ICCV},
  year={2019}
}

@inproceedings{abdal2020image2stylegan2,
  title={{Image2StyleGAN++}: How to Edit the Embedded Images?},
  author={Abdal, Rameen and Qin, Yipeng and Wonka, Peter},
  booktitle={CVPR},
  year={2020}
}
@inproceedings{huh2020transforming,
  title={Transforming and Projecting Images into Class-conditional Generative Networks},
  author={Huh, Minyoung and Zhang, Richard and Zhu, Jun-Yan and Paris, Sylvain and Hertzmann, Aaron},
  booktitle={ECCV},
  year={2020}
}

@inproceedings{han2021IALS,
    title={Disentangled Face Attribute Editing via Instance-Aware Latent Space Search},
    author={Han, Yuxuan and Yang, Jiaolong and Fu, Ying},
    booktitle={IJCAI},
    year={2021}
}

@inproceedings{chai2021ensembling,
  title={Ensembling with Deep Generative Views.},
  author={Chai, Lucy and Zhu, Jun-Yan and Shechtman, Eli and Isola, Phillip and Zhang, Richard},
  booktitle={CVPR},
  year={2021}
}

@inproceedings{menon2020pulse,
  author    = {Sachit Menon and
               Alexandru Damian and
               Shijia Hu and
               Nikhil Ravi and
               Cynthia Rudin},
  title     = {{PULSE:} Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models},
  booktitle = {CVPR},
  pages     = {2434--2442},
  year      = {2020}
}

@inproceedings{lang2021explaining,
  title={Explaining in Style: Training a {GAN} to explain a classifier in StyleSpace},
  author={Lang, Oran and Gandelsman, Yossi and Yarom, Michal and Wald, Yoav and Elidan, Gal and Hassidim, Avinatan and Freeman, William T and Isola, Phillip and Globerson, Amir and Irani, Michal and others},
  booktitle={ICCV},
  year={2021}
}

@inproceedings{alaluf2021restyle,
    title={{ReStyle}: A Residual-Based {StyleGAN} Encoder via Iterative Refinement},
    author={Yuval Alaluf and Or Patashnik and Daniel Cohen-Or},
    year={2021},
    booktitle={ICCV}
}

@inproceedings{creswell2016inverting,
  title={Inverting the generator of a generative adversarial network},
  author={Creswell, Antonia and Bharath, Anil Anthony},
  booktitle={NeurIPS Workshop},
  year={2016}
}

@article{creswell2018inverting,
  author    = {Creswell, Antonia and Bharath, Anil Anthony},
  title     = {Inverting the generator of a generative adversarial network},
  journal = {TNNLS},
  year      = {2018}
}

@article{zhu2020improved,
  title={Improved {StyleGAN} Embedding: Where are the Good Latents?},
  author={Zhu, Peihao and Abdal, Rameen and Qin, Yipeng and Femiani, John and Wonka, Peter},
  journal={arXiv preprint arXiv:2012.09036},
  year={2020}
}

@article{wei2021simpleinversion,
  title={{E2Style}: Improve the Efficiency and Effectiveness of {StyleGAN} Inversion},
  author={Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Zhang, Weiming and Yuan, Lu and Hua, Gang and Yu, Nenghai},
  journal={arXiv preprint arXiv:2104.07661},
  year={2021}
}

@article{lu2020discovery,
  title={Unsupervised Discovery of Disentangled Manifolds in {GANs}},
  author={Yu-Ding Lu and Hsin-Ying Lee and Hung-Yu Tseng and Ming-Hsuan Yang},
  journal={arXiv preprint arXiv:2011.11842},
  year={2020}
 }

@article{bau2020role,
  author = {Bau, David and Zhu, Jun-Yan and Strobelt, Hendrik and Lapedriza, Agata and Zhou, Bolei and Torralba, Antonio},
  title = {Understanding the role of individual units in a deep neural network},
  year = {2020},
  journal = {National Academy of Sciences}
}

@inproceedings{Lin2020LaDDer,
  title={{LaDDer}: Latent Data Distribution Modelling with a Generative Prior},
  author={Shuyu Lin and Ronald Clark},
  booktitle={BMVC},
  year={2020}
}

@inproceedings{wu2020stylespace,
  title={{StyleSpace} Analysis: Disentangled Controls for {StyleGAN} Image Generation},
  author={Zongze Wu and Dani Lischinski and Eli Shechtman},
  booktitle={CVPR},
  year={2021}
}

@article{guan2020faster,
  title     = {Collaborative Learning for Faster {StyleGAN} Embedding},
  author    = {Shanyan Guan and Ying Tai and Bingbing Ni and Feida  Zhu and Feiyue Huang and Xiaokang Yang},
  journal    = {arXiv preprint arXiv:2007.01758},
  year      = {2020}
}

@inproceedings{cherepkov2020navigating,
  title     = {Navigating the {GAN} Parameter Space for Semantic Image Editing},
  author    = {Anton Cherepkov and Andrey Voynov and Artem Babenko},
  booktitle    = {CVPR},
  year      = {2021}
}

@inproceedings{richardson2020encoding,
  title={Encoding in Style: a {StyleGAN} Encoder for Image-to-Image Translation},
  author={Richardson, Elad and Alaluf, Yuval and Patashnik, Or and Nitzan, Yotam and Azar, Yaniv and Shapiro, Stav and Cohen-Or, Daniel},
  booktitle={CVPR},
  year={2021}
}

@article{li2020latent,
  title     = {Interpreting the Latent Space of {GANs} via Correlation Analysis for Controllable Concept Manipulation},
  author    = {Ziqiang Li and Rentuo Tao and Hongjing Niu and Bin  Li},
  journal    = {arXiv preprint arXiv:2006.10132},
  year      = {2020}
}

@article{voynov2020latent,
  title     = {Unsupervised Discovery of Interpretable Directions in the {GAN} Latent Space},
  author    = {Andrey Voynov and Artem Babenko},
  journal    = {ICML},
  year      = {2020},
}

@article{anirudh2020MimicGAN,
author = {Rushil Anirudh and Jayaraman J. Thiagarajan and Bhavya Kailkhura and Peer{-}Timo Bremer},
title = {{MimicGAN}: Robust Projection onto Image Manifolds with Corruption Mimicking},
journal = {IJCV},
volume = {128},
number = {10},
pages = {2459--2477},
year  = {2020}
}

@inproceedings{shen2021closedform,
  title   = {Closed-Form Factorization of Latent Semantics in {GANs}},
  author  = {Shen, Yujun and Zhou, Bolei},
  booktitle = {CVPR},
  year    = {2021}
}

@inproceedings{wang2021hijack,
  title={{Hijack-GAN}: Unintended-Use of Pretrained, Black-Box {GANs}},
  author={Wang, Hui-Po and Yu, Ning and Fritz, Mario},
  booktitle={CVPR},
  year={2021}
}

@inproceedings{esser2020invertible,
  title={A Disentangling Invertible Interpretation Network for Explaining Latent Representations},
  author={Esser, Patrick and Rombach, Robin and Ommer, Bj{\"o}rn},
  booktitle={CVPR},
  year={2020}
}

@inproceedings{kang2021gan,
  title={{GAN} Inversion for Out-of-Range Images with Geometric Transformations},
  author={Kang, Kyoungkook and Kim, Seongtae and Cho, Sunghyun},
  booktitle={ICCV},
  year={2021}
}

@inproceedings{tzelepis2021warpedganspace,
  title={{WarpedGANSpace}: Finding non-linear {RBF} paths in {GAN} latent space},
  author={Tzelepis, Christos and Tzimiropoulos, Georgios and Patras, Ioannis},
  booktitle={ICCV},
  pages={6393--6402},
  year={2021}
}

@inproceedings{choi2021not,
  title={Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of {GANs}},
  author={Choi, Jaewoong and Yoon, Changyeon and Lee, Junho and Park, Jung Ho and Hwang, Geonho and Kang, Myungjoo},
  booktitle={ICLR},
  year={2022}
}

@inproceedings{zhu2021lowrankgan,
  title     = {Low-Rank Subspaces in {GANs}},
  author    = {Zhu, Jiapeng and Feng, Ruili and Shen, Yujun and Zhao, Deli and Zha, Zhengjun and Zhou, Jingren and Chen, Qifeng},
  booktitle = {NeurIPS},
  year      = {2021}
}

@inproceedings{wei2021orthogonal,
  title={Orthogonal {Jacobian} Regularization for Unsupervised Disentanglement in Image Generation},
  author={Wei, Yuxiang and Shi, Yupeng and Liu, Xiao and Ji, Zhilong and Gao, Yuan and Wu, Zhongqin and Zuo, Wangmeng},
  booktitle={ICCV},
  year={2021}
}

@article{alaluf2021only,
  title={Only a Matter of Style: Age Transformation Using a Style-Based Regression Model},
  author={Alaluf, Yuval and Patashnik, Or and Cohen-Or, Daniel},
  journal={TOG},
  year={2021}
}

@article{tov2021designing,
  title={Designing an Encoder for {StyleGAN} Image Manipulation},
  author={Tov, Omer and Alaluf, Yuval and Nitzan, Yotam and Patashnik, Or and Cohen-Or, Daniel},
  journal={TOG},
  year={2021}
}

@inproceedings{bau2019gandissect,
 title={{GAN} Dissection: Visualizing and Understanding Generative Adversarial Networks},
 author={Bau, David and Zhu, Jun-Yan and Strobelt, Hendrik and Zhou, Bolei and Tenenbaum, Joshua B. and Freeman, William T. and Torralba, Antonio},
 booktitle={ICLR},
 year={2019}
}

@inproceedings{xu2021ghfeat,
  title   = {Generative Hierarchical Features from Synthesizing Images},
  author  = {Xu, Yinghao and Shen, Yujun and Zhu, Jiapeng and Yang, Ceyuan and Zhou, Bolei},
  booktitle = {CVPR},
  year    = {2021}
}

@inproceedings{bau2019seeing,
  title={Seeing what a {GAN} cannot generate},
  author={Bau, David and Zhu, Jun-Yan and Wulff, Jonas and Peebles, William and Strobelt, Hendrik and Zhou, Bolei and Torralba, Antonio},
  booktitle={ICCV},
  pages={4502--4511},
  year={2019}
}
@inproceedings{zhu2016generative,
	title={Generative visual manipulation on the natural image manifold},
	author={Zhu, Jun-Yan and Kr{\"a}henb{\"u}hl, Philipp and Shechtman, Eli and Efros, Alexei A},
	booktitle={ECCV},
	year={2016}
}
@inproceedings{bau2020rewriting,
	title={Rewriting a Deep Generative Model},
	author={David Bau and Steven Liu and Tongzhou Wang and Jun-Yan Zhu and Antonio Torralba},
	booktitle={ECCV},
	year={2020}
}

@inproceedings{zhu2020indomain,
  title={In-domain {GAN} inversion for real image editing},
  author={Zhu, Jiapeng and Shen, Yujun and Zhao, Deli and Zhou, Bolei},
  booktitle={ECCV},
  year={2020}
}

@inproceedings{tewari2020stylerig,
  title = {{StyleRig}: Rigging {StyleGAN} for {3D} Control over Portrait Images},
  author={Tewari, Ayush and Elgharib, Mohamed and Bharaj, Gaurav and Bernard, Florian  and Seidel, Hans-Peter and P{\'e}rez, Patrick and Z{\"o}llhofer, Michael and Theobalt, Christian},   
  booktitle = {CVPR},
  year = {2020},
}

@inproceedings{daras2020your,
  title={Your local {GAN}: Designing two dimensional local attention mechanisms for generative models},
  author={Daras, Giannis and Odena, Augustus and Zhang, Han and Dimakis, Alexandros G},
  booktitle={CVPR},
  pages={14531--14539},
  year={2020}
}

@inproceedings{lei2019inverting,
  title={Inverting Deep Generative models, One layer at a time},
  author={Lei, Qi and Jalal, Ajil and Dhillon, Inderjit S and Dimakis, Alexandros G},
  booktitle={NeurIPS},
  year={2019}
}

@article{fetty2020latent,
  title={Latent space manipulation for high-resolution medical image synthesis via the {StyleGAN}},
  author={Fetty, Lukas and Bylund, Mikael and Kuess, Peter and Heilemann, Gerd and Nyholm, Tufve and Georg, Dietmar and L{\"o}fstedt, Tommy},
  journal={Zeitschrift f{\"u}r Medizinische Physik},
  volume={30},
  number={4},
  pages={305--314},
  year={2020},
  publisher={Elsevier}
}

@inproceedings{nurit2021steerability,
  title={{GAN} Steerability without optimization},
  author={Nurit, Spingarn and Ron, Banner and Tomer, Michaeli},
  booktitle={ICLR},
  year={2021}
}

@inproceedings{chai2021using,
  title={Using Latent Space Regression to Analyze and Leverage Compositionality in {GANs}},
  author={Lucy Chai and Jonas Wulff and Phillip Isola},
  booktitle={ICLR},
  year={2021}
}

@inproceedings{zhuang2021enjoy,
  title={Enjoy Your Editing: Controllable {GANs} for Image Editing via Latent Space Navigation},
  author={Zhuang, Peiye and Koyejo, Oluwasanmi and Schwing, Alexander G},
  booktitle={ICLR},
  year={2021}
}

@inproceedings{bau2019inverting,
  title={Inverting layers of a large generator},
  author={Bau, David and Zhu, Jun-Yan and Wulff, Jonas and Peebles, William and Strobelt, Hendrik and Zhou, Bolei and Torralba, Antonio},
  booktitle={ICLR Workshop},
  volume={2},
  number={3},
  pages={4},
  year={2019}
}

@inproceedings{perarnau2016invertible,
  title={Invertible conditional {GANs} for image editing},
  author={Perarnau, Guim and Van De Weijer, Joost and Raducanu, Bogdan and {\'A}lvarez, Jose M},
  booktitle={NeurIPS Workshop},
  year={2016}
}

@inproceedings{gu2020image,
	title={Image Processing Using Multi-Code {GAN} Prior},
	author={Gu, Jinjin and Shen, Yujun and Zhou, Bolei},
	booktitle={CVPR},
	year={2020}
}

@inproceedings{collins2020uncovering,
	title={Editing in Style: Uncovering the Local Semantics of {GANs}},
	author={Edo, Collins and Raja, Bala and Bob, Price and Sabine, Süsstrunk},
	booktitle={CVPR},
	year={2020}
}

@inproceedings{eric2020GANSpace,
	title={{GANSpace}: Discovering Interpretable {GAN} Controls},
	author={Erik, Härkönen and Aaron, Hertzmann and Jaakko, Lehtinen and Sylvain, Paris},
	booktitle={NeurIPS},
	year={2020}
}

@article{nitzan2020harness,
	title={Face Identity Disentanglement via Latent Space Mapping},
	author={Yotam Nitzan and Amit Bermano and Yangyan Li and Daniel Cohen-Or},
	journal={TOG},
	year={2020}
}

@inproceedings{viazovetskyi2020distillation,
	title={{StyleGAN2} Distillation for Feed-forward Image Manipulation},
	author={Yuri, Viazovetskyi and Vladimir, Ivashkin ang Evgeny, Kashin},
	booktitle={ECCV},
	year={2020}
}

@article{yang2019semantic,
	title={Semantic hierarchy emerges in deep generative representations for scene synthesis},
	author={Yang, Ceyuan and Shen, Yujun and Zhou, Bolei},
	journal={arXiv preprint arXiv:1911.09267},
	year={2019}
}

@inproceedings{zhu2021mind,
  title={Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks},
  author={Zhu, Peihao and Abdal, Rameen and Femiani, John and Wonka, Peter},
  booktitle={ICLR},
  year={2022}
}

@article{yang2021genda,
  title   = {One-Shot Generative Domain Adaptation},
  author  = {Yang, Ceyuan and Shen, Yujun and Zhang, Zhiyi and Xu, Yinghao and Zhu, Jiapeng and Wu, Zhirong and Zhou, Bolei},
  journal = {arXiv preprint arXiv:2111.09876},
  year    = {2021}
}

@article{gal2021clip,
  title={{StyleGAN-NADA}: {CLIP}-Guided Domain Adaptation of Image Generators},
  author={Gal, Rinon and Patashnik, Or and Maron, Haggai and Chechik, Gal and Cohen-Or, Daniel},
  journal={arXiv preprint arXiv:2108.00946},
  year={2021}
}

@article{abdal2020styleflow,
	title={{StyleFlow}: Attribute-conditioned Exploration of {StyleGAN}-Generated Images using Conditional Continuous Normalizing Flows},
	author={Abdal, Rameen and Zhu, Peihao and Mitra, Niloy and Wonka, Peter},
	journal={TOG},
	year={2021}
}

@inproceedings{jahanian2020steerability,
	title={On the ''steerability" of generative adversarial networks},
	author={Jahanian, Ali and Chai, Lucy and Isola, Phillip},
	booktitle={ICLR},
	year={2020}
}

@inproceedings{goetschalckx2019ganalyze,
	title={Ganalyze: Toward visual definitions of cognitive image properties},
	author={Goetschalckx, Lore and Andonian, Alex and Oliva, Aude and Isola, Phillip},
	booktitle={ICCV},
	year={2019}
}


@inproceedings{shen2020interpreting,
  title={Interpreting the latent space of {GANs} for semantic face editing},
  author={Shen, Yujun and Gu, Jinjin and Tang, Xiaoou and Zhou, Bolei},
  booktitle={CVPR},
  year={2020}
}

@inproceedings{li2023issa,
  title   = {Intra-Source Style Augmentation for Improved Domain Generalization},
  author  = {Li, Yumeng and Zhang, Dan and Keuper, Margret and Khoreva, Anna},
  booktitle = {WACV},
  year    = {2023}
}

% applications
@article{bai2021identity,
  title={Identity-Guided Face Generation with Multi-modal Contour Conditions},
  author={Bai, Qingyan and Xia, Weihao and Yin, Fei and Yang, Yujiu},
  journal={arXiv preprint arXiv:2110.04854},
  year={2021}
}

@inproceedings{xia2021tedigan,
  author    = {Xia, Weihao and Yang, Yujiu and Xue, Jing-Hao and Wu, Baoyuan},
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  booktitle={CVPR},
  pages={2256--2265},
  year={2021}
}

@article{xia2021open,
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  year={2021}
}

@inproceedings{patashnik2021styleclip,
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  booktitle={ICCV},
  year={2021}
}

@inproceedings{lee2021sound,
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  booktitle = {CVPR},
  year={2022}
}


@article{tewari2020pie,
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  author={Tewari, Ayush and Elgharib, Mohamed and BR, Mallikarjun and Bernard, Florian  and Seidel, Hans-Peter and P{\'e}rez, Patrick and Z{\"o}llhofer, Michael and Theobalt, Christian},    
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@inproceedings{pan2020exploiting,
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	booktitle={ECCV},
	year={2020}
}

@inproceedings{pan2020gan2shape,
  title   = {Do {2D} {GANs} Know {3D} Shape? Unsupervised {3D} Shape Reconstruction from {2D} Image {GANs}},
  author  = {Pan, Xingang and Dai, Bo and Liu, Ziwei and Loy, Chen Change and Luo, Ping},
  booktitle = {ICLR},
  year    = {2021}
}

@inproceedings{zhang2021unsupervised,
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  booktitle = {CVPR},
  year = {2021}
}

@inproceedings{abdal2021labels4free,
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  author={Rameen Abdal and Peihao Zhu and Niloy Mitra and Peter Wonka},
  booktitle={ICCV},
  year={2021}
}

@inproceedings{cheng2021InOut,
  author    = {Cheng, Yen-Chi and Lin, Chieh Hubert and Lee, Hsin-Ying and Ren, Jian and Tulyakov, Sergey and Yang, Ming-Hsuan}, 
  title     = {In\&Out: Diverse Image Outpainting via {GAN} Inversion},
  booktitle    = {CVPR},
  year      = {2022}
}

@inproceedings{lin2021infinity,
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}

@inproceedings{saha2021LOHO,
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  booktitle={CVPR},
  year={2021}
}

@inproceedings{zhu2021megafs,
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  booktitle={CVPR},
  year={2021}
}

@inproceedings{Tritrong2021RepurposeGAN,
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  year = {2021},
}

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  author       = {Deng, Jia and Dong, Wei and Socher, Richard and Li, Li-Jia and Li, Kai and Fei-Fei, Li},
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@inproceedings{Ge2019DeepFashion2,
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@inproceedings{zhang2018unreasonable,
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@inproceedings{lan2023e3dge,
  title={E3DGE: Self-Supervised Geometry-Aware Encoder for Style-based 3D GAN Inversion},
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  booktitle={Computer Vision and Pattern Recognition (CVPR)},
  year={2023}
}