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A Fast Text-Driven Approach for Generating Artistic Content

Authors:

Marian Lupașcu,

Ryan Murdock,

Ionuţ Mironică,

Yijun LiAuthors Info & Claims

SIGGRAPH '22: ACM SIGGRAPH 2022 Posters

Article No.: 12, Pages 1 - 2

https://doi.org/10.1145/3532719.3543208

Published: 25 July 2022 Publication History

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The attached zip archive contains the 30-seconds video (in mp4 format) and the supplementary material (in pdf format) (Supplementary Material and Video.zip)

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References

[1]

Andrew Brock, Jeff Donahue, and Karen Simonyan. 2019. Large Scale GAN Training for High Fidelity Natural Image Synthesis. ArXiv abs/1809.11096(2019).

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[2]

Prafulla Dhariwal and Alexander Nichol. 2021. Diffusion models beat gans on image synthesis. NeurIPS (2021).

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[3]

Patrick Esser, Robin Rombach, and Bjorn Ommer. 2021. Taming Transformers for High-Resolution Image Synthesis. In CVPR.

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Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, and Dani Lischinski. 2021. StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. In ICCV.

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Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. In ICML.

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Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021. Zero-Shot Text-to-Image Gen. In ICML.

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Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee. 2016. Generative Adversarial Text to Image Synthesis. In ICML.

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Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He. 2018. AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. In CVPR.

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SIGGRAPH '22: ACM SIGGRAPH 2022 Posters

July 2022

132 pages

ISBN:9781450393614

DOI:10.1145/3532719

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 25 July 2022

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SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 7 - 11, 2022

BC, Vancouver, Canada

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Abstract

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References

Recommendations

Biases in Generative Art: A Causal Look from the Lens of Art History

Generating abstract paintings in Kandinsky style

The Creativity of Text-to-Image Generation

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