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Our goal is to develop fine-grained real-image editing methods suitable for real-world applications.
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Improved techniques for training gans
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Pixel recurrent neural networks
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Large scale gan training for high fidelity natural image synthesis
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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
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Gan dissection: Visualizing and understanding generative adversarial networks
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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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Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Yang Song and Stefano Ermon · 2019
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Image2stylegan++: How to edit the embedded images?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2020
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The tools of generative art, from flash to neural networks
Jason Bailey · 2020
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Deepfacedrawing: deep generation of face images from sketches
Shu-Yu Chen, Wanchao Su, Lin Gao, Shi hong Xia, and Hongbo Fu · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and P. Abbeel · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Maskgan: Towards diverse and interactive facial image manipulation
Cheng-Han Lee, Ziwei Liu, Lingyun Wu, and Ping Luo · 2020
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Controlling generative models with continuous factors of variations
Designing an encoder for stylegan image manipulation
Omer Tov, Yuval Alaluf, Yotam Nitzan, Or Patashnik, and Daniel Cohen-Or · 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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Tedigan: Text-guided diverse face image generation and manipulation
Weihao Xia, Yujiu Yang, Jing Xue, and Baoyuan Wu · 2021
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Datasetgan: Efficient labeled data factory with minimal human effort
Yuxuan Zhang, Huan Ling, Jun Gao, K. Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, and Sanja Fidler · 2021
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Hyperstyle: Stylegan inversion with hypernetworks for real image editing
Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, and Amit H. Bermano · 2022
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Yujun Shen, Jinjin Gu, Xiaoou Tang, and Bolei Zhou · 2020
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In-domain gan inversion for real image editing
Jiapeng Zhu, Yujun Shen, Deli Zhao, and Bolei Zhou · 2020
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Restyle: A residual-based stylegan encoder via iterative refinement
Yuval Alaluf, Or Patashnik, and Daniel Cohen-Or · 2021
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Ilvr: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alex Nichol · 2021
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Stylegan-nada: Clip-guided domain adaptation of image generators
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, and Daniel Cohen-Or · 2021
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Omri Avrahami, Ohad Fried, and Dani Lischinski · 2022
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Blended diffusion for text-driven editing of natural images
Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
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Label-efficient semantic segmentation with diffusion models
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Perception prioritized training of diffusion models
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Diffusion models already have a semantic latent space
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Interfacegan: Interpreting the disentangled face representation learned by gans
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Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2022
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Transeditor: Transformer-based dual-space gan for highly controllable facial editing
Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, and Wayne Wu · 2022
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