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The correspondence between input text and the generated image exhibits opacity, wherein minor textual modifications can induce substantial deviations in the generated image.
Liii. on lines and planes of closest fit to systems of points in space
Karl Pearson · 1901
Earlier work this paper cites.
An analysis of the total least squares problem
Gene H Golub and Charles F Van Loan · 1980
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Very deep convolutional networks for large-scale image recognition
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Fader networks: Manipulating images by sliding attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, and Marc’Aurelio Ranzato · 2017
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Attention is all you need
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Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Earlier work this paper cites.
Styleclip: Text-driven manipulation of stylegan imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
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Learning transferable visual models from natural language supervision
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Closed-form factorization of latent semantics in gans
Yujun Shen and Bolei Zhou · 2021
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Multimodal few-shot learning with frozen language models
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Omri Avrahami, Dani Lischinski, and Ohad Fried · 2022
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Pierre Chambon, Christian Bluethgen, Curtis P Langlotz, and Akshay Chaudhari · 2022
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Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Scaling autoregressive models for content-rich text-to-image generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, et al · 2022
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Discovering interpretable directions in the semantic latent space of diffusion models
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Imagic: Text-based real image editing with diffusion models
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Niv Cohen, Rinon Gal, Eli A Meirom, Gal Chechik, and Yuval Atzmon · 2022
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Diffusion models already have a semantic latent space
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Pseudo numerical methods for diffusion models on manifolds
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Hierarchical text-conditional image generation with clip latents
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Uncovering the disentanglement capability in text-to-image diffusion models
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Adding conditional control to text-to-image diffusion models
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