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We introduce a novel method to automatically generate an artistic typography by stylizing one or more letter fonts to visually convey the semantics of an input word, while ensuring that the output remains readable.
Learning a manifold of fonts
Neill DF Campbell and Jan Kautz · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Pyramid of arclength descriptor for generating collage of shapes
Kin Chung Kwan, Lok Tsun Sinn, Chu Han, Tien-Tsin Wong, and Chi-Wing Fu · 2016
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Changqing Zou, Junjie Cao, Warunika Ranaweera, Ibraheem Alhashim, Ping Tan, Alla Sheffer, and Hao Zhang · 2016
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Awesome typography: Statistics-based text effects transfer
Shuai Yang, Jiaying Liu, Zhouhui Lian, and Zongming Guo · 2017
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Synthesizing ornamental typefaces
Junsong Zhang, Yu Wang, Weiyi Xiao, and Zhenshan Luo · 2017
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Multi-content gan for few-shot font style transfer
Samaneh Azadi, Matthew Fisher, Vladimir G Kim, Zhaowen Wang, Eli Shechtman, and Trevor Darrell · 2018
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Context-aware text-based binary image stylization and synthesis
Shuai Yang, Jiaying Liu, Wenhan Yang, and Zongming Guo · 2018
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Context-aware unsupervised text stylization
Shuai Yang, Jiaying Liu, Wenhan Yang, and Zongming Guo · 2018
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Learning a stroke-based representation for fonts
Elena Balashova, Amit H Bermano, Vladimir G Kim, Stephen DiVerdi, Aaron Hertzmann, and Thomas Funkhouser · 2019
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Manufacturable pattern collage along a boundary
Minghai Chen, Fan Xu, and Lin Lu · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Improved deformation-driven element packing with repulsionpak
Reza Adhitya Saputra, Craig S Kaplan, and Paul Asente · 2019
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Trick or treat: Thematic reinforcement for artistic typography
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Deepvecfont: synthesizing high-quality vector fonts via dual-modality learning
Yizhi Wang and Zhouhui Lian · 2021
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Strokestyles: Stroke-based segmentation and stylization of fonts
Daniel Berio, Frederic Fol Leymarie, Paul Asente, and Jose Echevarria · 2022
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Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T Barron, Pieter Abbeel, and Ben Poole · 2022
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Text2mesh: Text-driven neural stylization for meshes
Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, and Rana Hanocka · 2022
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Hierarchical text-conditional image generation with clip latents
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Purva Tendulkar, Kalpesh Krishna, Ramprasaath R Selvaraju, and Devi Parikh · 2019
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Differentiable vector graphics rasterization for editing and learning
Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, and Jonathan Ragan-Kelley · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, and R Ng · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Improved techniques for training score-based generative models
Yang Song and Stefano Ermon · 2020
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Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
Kevin Frans, Lisa B Soros, and Olaf Witkowski
Cited in the paper.
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Clip-nerf: Text-and-image driven manipulation of neural radiance fields
Can Wang, Menglei Chai, Mingming He, Dongdong Chen, and Jing Liao · 2022
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Diffusion-gan: Training gans with diffusion
Zhendong Wang, Huangjie Zheng, Pengcheng He, Weizhu Chen, and Mingyuan Zhou · 2022
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Creating word paintings jointly considering semantics, attention, and aesthetics
Junsong Zhang, Zuyi Yang, Linchengyu Jin, Zhitang Lu, and Jinhui Yu · 2022
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Word-as-image for semantic typography
Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, and Ariel Shamir · 2023
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