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Generating photos satisfying multiple constraints find broad utility in the content creation industry.
On the canny edge detector
Lijun Ding and Ardeshir Goshtasby · 2001
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Bayesian learning via stochastic gradient langevin dynamics
Max Welling and Yee W Teh · 2011
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Auto-encoding variational bayes
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Generalized product of experts for automatic and principled fusion of gaussian process predictions
Yanshuai Cao and David J Fleet · 2014
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
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Learning structured output representation using deep conditional generative models
Kihyuk Sohn, Honglak Lee, and Xinchen Yan · 2015
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Joint multimodal learning with deep generative models
Masahiro Suzuki, Kotaro Nakayama, and Yutaka Matsuo · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Image-to-image translation with conditional adversarial networks
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Progressive growing of gans for improved quality, stability, and variation
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High-resolution image synthesis and semantic manipulation with conditional gans
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Multimodal generative models for scalable weakly-supervised learning
Mike Wu and Noah Goodman · 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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A style-based generator architecture for generative adversarial networks
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Semantic image synthesis with spatially-adaptive normalization
Taesung Park, Ming-Yu Liu, Ting-Chun Wang, and Jun-Yan Zhu · 2019
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Variational mixture-of-experts autoencoders for multi-modal deep generative models
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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 2019
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Mingxing Tan and Quoc Le · 2019
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Dmgan: Discriminative metric-based generative adversarial networks
Zhangling Chen, Ce Wang, Huaming Wu, Kun Shang, and Jun Wang · 2020
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Generative adversarial networks
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Diverse semantic image synthesis via probability distribution modeling
Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, and Nenghai Yu · 2021
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Attentiongan: Unpaired image-to-image translation using attention-guided generative adversarial networks
Hao Tang, Hong Liu, Dan Xu, Philip HS Torr, and Nicu Sebe · 2021
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Tedigan: Text-guided diverse face image generation and manipulation
Weihao Xia, Yujiu Yang, Jing-Hao Xue, and Baoyuan Wu · 2021
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Np-draw: A non-parametric structured latent variable model for image generation
Xiaohui Zeng, Raquel Urtasun, Richard Zemel, Sanja Fidler, and Renjie Liao · 2021
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M6-ufc: Unifying multi-modal controls for conditional image synthesis
Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, and Hongxia Yang · 2021
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Diffusion models beat gans on image synthesis
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Classifier-free diffusion guidance
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Learning transferable visual models from natural language supervision
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