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Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks

arXiv 2109.12628 ↗First posted 26 Sep 2021cs.CV cs.AI cs.GRcited by 0

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Abstract (arXiv)

In this paper we introduce Local Logo Generative Adversarial Network (LL-GAN) that uses regional features extracted from Faster R-CNN for logo generation. We demonstrate the strength of this approach by training the framework on a small style-rich dataset of real heavy metal logos to generate new ones. LL-GAN achieves Inception Score of 5.29 and Frechet Inception Distance of 223.94, improving on state-of-the-art models StyleGAN2 and Self-Attention GAN.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 24 of its 29 references that are in the map. First posted on arXiv 26 Sep 2021.

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24 of 29 references.

References · 24

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Adam: A Method for Stochastic Optimizationcited by 37,240
  3. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
  4. 2017Mask R-CNNcited by 7,277
  5. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  6. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  7. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,852
  8. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,527
  9. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,588
  10. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,988
  11. 2016Improved Techniques for Training GANscited by 2,970
  12. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,162
12 more
  1. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,054
  2. 2018Spectral Normalization for Generative Adversarial Networkscited by 1,636
  3. 2018Self-Attention Generative Adversarial Networkscited by 809
  4. 2017Wasserstein GANcited by 639
  5. 2017Multi-Content GAN for Few-Shot Font Style Transfercited by 100
  6. 2019Artistic Glyph Image Synthesis via One-Stage Few-Shot Learningcited by 53
  7. 2017Logo Synthesis and Manipulation with Clustered Generative Adversarial Networkscited by 20
  8. 2019GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networkscited by 16
  9. 2018LoGAN: Generating Logos with a Generative Adversarial Neural Network Conditioned on colorcited by 6
  10. 2019LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networkscited by 5
  11. 2020Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logoscited by 2
  12. 2021Illegible Semantics: Exploring the Design Space of Metal Logoscited by 1

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