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StyleGAN is arguably one of the most intriguing and well-studied generative models, demonstrating impressive performance in image generation, inversion, and manipulation.
Poisson image editing
Patrick Pérez, Michel Gangnet, and Andrew Blake · 2003
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
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Dlib-ml: A machine learning toolkit
Davis E. King · 2009
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Deep learning face attributes in the wild, 2015
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Dex: Deep expectation of apparent age from a single image
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2015
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Invertible conditional gans for image editing, 2016
Guim Perarnau, Joost van de Weijer, Bogdan Raducanu, and Jose M. Álvarez · 2016
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Joint face detection and alignment using multitask cascaded convolutional networks
Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao · 2016
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Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
Earlier work this paper cites.
Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Precise recovery of latent vectors from generative adversarial networks
Zachary C Lipton and Subarna Tripathi · 2017
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Learning inverse mapping by autoencoder based generative adversarial nets
Junyu Luo, Yong Xu, Chenwei Tang, and Jiancheng Lv · 2017
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Semantic image inpainting with deep generative models, 2017
Raymond A. Yeh, Chen Chen, Teck Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, and Minh N. Do · 2017
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Inverting the generator of a generative adversarial network
Antonia Creswell and Anil Anthony Bharath · 2018
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A framework for the quantitative evaluation of disentangled representations
Cian Eastwood and Christopher KI Williams · 2018
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Deep expectation of real and apparent age from a single image without facial landmarks
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2018
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Fine-grained head pose estimation without keypoints
Nataniel Ruiz, Eunji Chong, and James M. Rehg · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Semantic photo manipulation with a generative image prior
David Bau, Hendrik Strobelt, William Peebles, Jonas Wulff, Bolei Zhou, Jun-Yan Zhu, and Antonio Torralba · 2019
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Arcface: Additive angular margin loss for deep face recognition, 2019
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Ganalyze: Toward visual definitions of cognitive image properties, 2019
Lore Goetschalckx, Alex Andonian, Aude Oliva, and Phillip Isola · 2019
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On the”steerability” of generative adversarial networks
Ali Jahanian, Lucy Chai, and Phillip Isola · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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On the spectral bias of neural networks
Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred Hamprecht, Yoshua Bengio, and Aaron Courville · 2019
Earlier work this paper cites.
Image2stylegan++: How to edit the embedded images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
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Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows, 2020
Rameen Abdal, Peihao Zhu, Niloy Mitra, and Peter Wonka · 2020
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Disentangled image generation through structured noise injection
Yazeed Alharbi and Peter Wonka · 2020
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Understanding the role of individual units in a deep neural network
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, and Antonio Torralba · 2020
Earlier work this paper cites.
Stargan v2: Diverse image synthesis for multiple domains, 2020
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
Cited alongside, same era.
Editing in style: Uncovering the local semantics of gans
Edo Collins, R. Bala, B. Price, and S. Süsstrunk · 2020
Cited alongside, same era.
Editing in style: Uncovering the local semantics of gans
Edo Collins, Raja Bala, Bob Price, and Sabine Susstrunk · 2020
Cited alongside, same era.
Image processing using multi-code gan prior, 2020
Jinjin Gu, Yujun Shen, and Bolei Zhou · 2020
Cited alongside, same era.
Collaborative learning for faster stylegan embedding
Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, and Xiaokang Yang · 2020
Cited alongside, same era.
Retrieve in style: Unsupervised facial feature transfer and retrieval
Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, and David Forsyth · 2021
Later among the works it cites.
Hyperinverter: Improving stylegan inversion via hypernetwork, 2021
Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, and Binh-Son Hua · 2021
Later among the works it cites.
Stylegan-nada: Clip-guided domain adaptation of image generators, 2021
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, and Daniel Cohen-Or · 2021
Later among the works it cites.
Stylefusion: A generative model for disentangling spatial segments, 2021
Omer Kafri, Or Patashnik, Yuval Alaluf, and Daniel Cohen-Or · 2021
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Gan inversion for out-of-range images with geometric transformations, 2021
Kyoungkook Kang, Seongtae Kim, and Sunghyun Cho · 2021
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Erik Härkönen, Aaron Hertzmann, Jaakko Lehtinen, and Sylvain Paris · 2020
Cited alongside, same era.
Guidedstyle: Attribute knowledge guided style manipulation for semantic face editing, 2020
Xianxu Hou, Xiaokang Zhang, Linlin Shen, Zhihui Lai, and Jun Wan · 2020
Cited alongside, same era.
Curricularface: adaptive curriculum learning loss for deep face recognition
Yuge Huang, Yuhan Wang, Ying Tai, Xiaoming Liu, Pengcheng Shen, Shaoxin Li, Jilin Li, and Feiyue Huang · 2020
Cited alongside, same era.
Training generative adversarial networks with limited data, 2020
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
Cited alongside, same era.
Pulse: Self-supervised photo upsampling via latent space exploration of generative models
Sachit Menon, Alexandru Damian, Shijia Hu, Nikhil Ravi, and Cynthia Rudin · 2020
Cited alongside, same era.
Swapping autoencoder for deep image manipulation
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A Efros, and Richard Zhang · 2020
Cited alongside, same era.
Tero Karras, Miika Aittala, Samuli Laine, Erik Härkönen, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2021
Later among the works it cites.
Exploiting spatial dimensions of latent in gan for real-time image editing
Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, and Youngjung Uh · 2021
Later among the works it cites.
Exploiting spatial dimensions of latent in gan for real-time image editing, 2021
Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, and Youngjung Uh · 2021
Later among the works it cites.
Vogue: Try-on by stylegan interpolation optimization
Kathleen M Lewis, Srivatsan Varadharajan, and Ira Kemelmacher-Shlizerman · 2021
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Anycost gans for interactive image synthesis and editing
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, and Jun-Yan Zhu · 2021
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Editgan: High-precision semantic image editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, and Sanja Fidler · 2021
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Styleclip: Text-driven manipulation of stylegan imagery, 2021
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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Encoding in style: a stylegan encoder for image-to-image translation
Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, and Daniel Cohen-Or · 2021
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Pivotal tuning for latent-based editing of real images
Daniel Roich, Ron Mokady, Amit H Bermano, and Daniel Cohen-Or · 2021
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Gan-control: Explicitly controllable gans
Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, and Gerard Medioni · 2021
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Aligning latent and image spaces to connect the unconnectable
Ivan Skorokhodov, Grigorii Sotnikov, and Mohamed Elhoseiny · 2021
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Agilegan: stylizing portraits by inversion-consistent transfer learning
Guoxian Song, Linjie Luo, Jing Liu, Wan-Chun Ma, Chunpong Lai, Chuanxia Zheng, and Tat-Jen Cham · 2021
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Designing an encoder for stylegan image manipulation, 2021
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 2021
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A geometric analysis of deep generative image models and its applications
Binxu Wang and Carlos R Ponce · 2021
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High-fidelity gan inversion for image attribute editing
Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, and Qifeng Chen · 2021
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Stylespace analysis: Disentangled controls for stylegan image generation
Zongze Wu, Dani Lischinski, and Eli Shechtman · 2021
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Stylealign: Analysis and applications of aligned stylegan models, 2021
Zongze Wu, Yotam Nitzan, Eli Shechtman, and Dani Lischinski · 2021
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Gan inversion: A survey, 2021
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2021
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A latent transformer for disentangled face editing in images and videos
Xu Yao, Alasdair Newson, Yann Gousseau, and Pierre Hellier · 2021
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Barbershop
Peihao Zhu, Rameen Abdal, John Femiani, and Peter Wonka · 2021
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Barbershop: Gan-based image compositing using segmentation masks
Peihao Zhu, Rameen Abdal, John Femiani, and Peter Wonka · 2021
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Peihao Zhu, Rameen Abdal, John Femiani, and Peter Wonka · 2021
Later among the works it cites.
Stitch it in time: Gan-based facial editing of real videos, 2022
Rotem Tzaban, Ron Mokady, Rinon Gal, Amit H. Bermano, and Daniel Cohen-Or · 2022
Closest in time.