mlsanityData to 14 Oct 2026

GAN Computers Generate Arts? A Survey on Visual Arts, Music, and Literary Text Generation using Generative Adversarial Network

arXiv 2108.03857 ↗First posted 9 Aug 2021cs.AI cs.CL cs.CVcited by 15

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Abstract (arXiv)

"Art is the lie that enables us to realize the truth." - Pablo Picasso. For centuries, humans have dedicated themselves to producing arts to convey their imagination. The advancement in technology and deep learning in particular, has caught the attention of many researchers trying to investigate whether art generation is possible by computers and algorithms. Using generative adversarial networks (GANs), applications such as synthesizing photorealistic human faces and creating captions automatically from images were realized. This survey takes a comprehensive look at the recent works using GANs for generating visual arts, music, and literary text. A performance comparison and description of the various GAN architecture are also presented. Finally, some of the key challenges in art generation using GANs are highlighted along with recommendations for future work.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 29 of its 58 references that are in the map. First posted on arXiv 9 Aug 2021.

Builds on

29 of 58 references.

References · 29

  1. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  2. 2017Improved Training of Wasserstein GANscited by 2,235
  3. 2014Conditional Generative Adversarial Netscited by 2,162
  4. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  5. 2019Transformer-XL: Attentive Language Models Beyond a Fixed-Length Contextcited by 1,850
  6. 2016InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Netscited by 860
  7. 2017Generative Adversarial Networks: An Overviewcited by 590
  8. 2016SeqGAN: Sequence Generative Adversarial Nets with Policy Gradientcited by 376
  9. 2015Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networkscited by 214
  10. 2017Regularizing and Optimizing LSTM Language Modelscited by 205
  11. 2017MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompanimentcited by 151
  12. 2016C-RNN-GAN: Continuous recurrent neural networks with adversarial trainingcited by 132
17 more
  1. 2017CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Normscited by 96
  2. 2017MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generationcited by 72
  3. 2020GANwriting: Content-Conditioned Generation of Styled Handwritten Word Imagescited by 68
  4. 2020Deep Learning for Free-Hand Sketch: A Surveycited by 59
  5. 2021Adversarial Text-to-Image Synthesis: A Reviewcited by 52
  6. 2017Adversarial Ranking for Language Generationcited by 50
  7. 2017Maximum-Likelihood Augmented Discrete Generative Adversarial Networkscited by 39
  8. 2017Adversarial Generation of Natural Languagecited by 33
  9. 2019Conditional LSTM-GAN for Melody Generation from Lyricscited by 31
  10. 2019Neural Painters: A learned differentiable constraint for generating brushstroke paintingscited by 28
  11. 2020KaoKore: A Pre-modern Japanese Art Facial Expression Datasetcited by 18
  12. 2018Beyond Narrative Description: Generating Poetry from Images by Multi-Adversarial Trainingcited by 17
  13. 2020Sketch-to-Art: Synthesizing Stylized Art Images From Sketchescited by 10
  14. 2016Generating images with recurrent adversarial networkscited by 9
  15. 2017Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networkscited by 6
  16. 2019The Six Fronts of the Generative Adversarial Networkscited by 3
  17. 2019Prose for a Paintingcited by 2

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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 8; 2025: 3.

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  2. 2024Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiencycited by 31
  3. 2024An overview of domain-specific foundation model: key technologies, applications and challengescited by 19
  4. 2024Diffusion-Based Visual Art Creation: A Survey and New Perspectivescited by 17
  5. 2023The Imitation Game: Detecting Human and AI-Generated Texts in the Era of ChatGPT and BARDcited by 9
  6. 2024GANs Conditioning Methods: A Surveycited by 3
  7. 2023TPPoet: Transformer-Based Persian Poem Generation using Minimal Data and Advanced Decoding Techniquescited by 2
  8. 2025Performance of diverse evaluation metrics in NLP-based assessment and text generation of consumer complaintscited by 2
  9. 2022A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deceptioncited by 1
  10. 2024MITS-GAN: Safeguarding Medical Imaging from Tampering with Generative Adversarial Networkscited by 1
  11. 2024Level of agreement between emotions generated by Artificial Intelligence and human evaluation: a methodological proposalcited by 1
  12. 2025FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writingcited by 1
3 more
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  2. 2024Machine Apophenia: The Kaleidoscopic Generation of Architectural Imagescited by 0
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