mlsanityData to 14 Oct 2026

ARTEMIS: Using GANs with Multiple Discriminators to Generate Art

arXiv 2311.08278 ↗First posted 14 Nov 2023cs.CVcited by 1

Not on the map. Why?

Abstract (arXiv)

We propose a novel method for generating abstract art. First an autoencoder is trained to encode and decode the style representations of images, which are extracted from source images with a pretrained VGG network. Then, the decoder component of the autoencoder is extracted and used as a generator in a GAN. The generator works with an ensemble of discriminators. Each discriminator takes different style representations of the same images, and the generator is trained to create images that create convincing style representations in order to deceive all of the generators. The generator is also trained to maximize a diversity term. The resulting images had a surreal, geometric quality. We call our approach ARTEMIS (ARTistic Encoder- Multi- Discriminators Including Self-Attention), as it uses the self-attention layers and an encoder-decoder architecture.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 38 of its 51 references that are in the map. First posted on arXiv 14 Nov 2023.

Builds on

38 of 51 references.

References · 38

  1. 2017Attention Is All You Needcited by 60,361
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 7,005
  4. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,548
  5. 2016Improved Techniques for Training GANscited by 2,970
  6. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
  7. 2016Aggregated Residual Transformations for Deep Neural Networkscited by 2,546
  8. 2017Non-local Neural Networkscited by 2,293
  9. 2017Improved Training of Wasserstein GANscited by 2,235
  10. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  11. 2018Image Super-Resolution Using Very Deep Residual Channel Attention Networkscited by 1,264
  12. 2018ESRGAN: Enhanced Super-Resolution Generative Adversarial Networkscited by 1,254
26 more
  1. 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,026
  2. 2018Self-Attention Generative Adversarial Networkscited by 809
  3. 2015A Neural Algorithm of Artistic Stylecited by 483
  4. 2018A Survey on Deep Transfer Learningcited by 419
  5. 2018How Does Batch Normalization Help Optimization?cited by 357
  6. 2014Recurrent Models of Visual Attentioncited by 349
  7. 2018Arbitrary Style Transfer with Style-Attentional Networkscited by 198
  8. 2015DRAW: A Recurrent Neural Network For Image Generationcited by 191
  9. 2015Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Featurecited by 182
  10. 2016Texture Networks: Feed-forward Synthesis of Textures and Stylized Imagescited by 174
  11. 2017Deep Photo Style Transfercited by 168
  12. 2019Mish: A Self Regularized Non-Monotonic Activation Functioncited by 141
  13. 2016Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesiscited by 102
  14. 2017CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Normscited by 96
  15. 2017Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Lossescited by 69
  16. 2018Learning Shape Priors for Single-View 3D Completion and Reconstructioncited by 68
  17. 2017Diversified Texture Synthesis with Feed-forward Networkscited by 59
  18. 2021Rethinking and Improving the Robustness of Image Style Transfercited by 48
  19. 2017TextureGAN: Controlling Deep Image Synthesis with Texture Patchescited by 47
  20. 2021DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfercited by 39
  21. 2018Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classificationcited by 36
  22. 2020Face Mask Detection using Transfer Learning of InceptionV3cited by 23
  23. 2017A survey of exemplar-based texture synthesiscited by 13
  24. 2020Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencodercited by 13
  25. 2020On Demand Solid Texture Synthesis Using Deep 3D Networkscited by 7
  26. 2020GANs & Reels: Creating Irish Music using a Generative Adversarial Networkcited by 2

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Deep Learning Meets Process-Based Models: A Hybrid Approach to Agricultural Challengescited by 1