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Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Conditional generative adversarial nets, 2014
Mehdi Mirza and Simon Osindero · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
Ian Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
Earlier work this paper cites.
Image style transfer using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2016
Earlier work this paper cites.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Earlier work this paper cites.
Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
Cited alongside, same era.
Conditional image synthesis with auxiliary classifier gans
Augustus Odena, Christopher Olah, and Jonathon Shlens · 2017
Cited alongside, same era.
Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer
Sergey Zagoruyko and Nikos Komodakis · 2017
Cited alongside, same era.
Inverting gradients - how easy is it to break privacy in federated learning?
Jonas Geiping, Hartmut Bauermeister, Hannah Dröge, and Michael Moeller · 2020
Cited alongside, same era.
Mpg: A multi-ingredient pizza image generator with conditional stylegans, 2020
Fangda Han, Guoyao Hao, Ricardo Guerrero, and Vladimir Pavlovic · 2020
Cited alongside, same era.
Denoising diffusion probabilistic models, 2020
Ilvr: Conditioning method for denoising diffusion probabilistic models
Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, and Sungroh Yoon · 2021
Later among the works it cites.
Dressing in order: Recurrent person image generation for pose transfer, virtual try-on and outfit editing
Aiyu Cui, Daniel McKee, and Svetlana Lazebnik · 2021
Later among the works it cites.
Diffusion models beat GANs on image synthesis
Prafulla Dhariwal and Alexander Quinn Nichol · 2021
Later among the works it cites.
You can try without visiting: A comprehensive survey on virtually try-on outfits, Feb 2021
Hajer Ghodhbani, Adel Alimi, Mohamed Neji, and Imran Razzak · 2021
Later among the works it cites.
Editgan: High-precision semantic image editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, and Sanja Fidler · 2021
Later among the works it cites.
More control for free! image synthesis with semantic diffusion guidance
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Sievenet: A unified framework for robust image-based virtual try-on
Surgan Jandial, Ayush Chopra, Kumar Ayush, Mayur Hemani, Balaji Krishnamurthy, and Abhijeet Halwai · 2020
Cited alongside, same era.
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, and Trevor Darrell · 2021
Later among the works it cites.
Styleclip: Text-driven manipulation of stylegan imagery
Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski · 2021
Later among the works it cites.