mlsanityData to 14 Oct 2026

WarpGAN: Automatic Caricature Generation

arXiv 1811.10100 ↗First posted 25 Nov 2018cs.CVcited by 28

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Abstract (arXiv)

We propose, WarpGAN, a fully automatic network that can generate caricatures given an input face photo. Besides transferring rich texture styles, WarpGAN learns to automatically predict a set of control points that can warp the photo into a caricature, while preserving identity. We introduce an identity-preserving adversarial loss that aids the discriminator to distinguish between different subjects. Moreover, WarpGAN allows customization of the generated caricatures by controlling the exaggeration extent and the visual styles. Experimental results on a public domain dataset, WebCaricature, show that WarpGAN is capable of generating a diverse set of caricatures while preserving the identities. Five caricature experts suggest that caricatures generated by WarpGAN are visually similar to hand-drawn ones and only prominent facial features are exaggerated.

Key facts. Cited by 28 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Nov 2018.

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Citing papers per year: 2021: 8; 2022: 5; 2023: 9; 2024: 3; 2025: 0; 2026: 3.

28 papers.

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  1. 2021Image-to-Image Translation: Methods and Applicationscited by 116
  2. 2022Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfercited by 66
  3. 2021BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generationcited by 47
  4. 2021AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generationcited by 25
  5. 2022Rewriting Geometric Rules of a GANcited by 25
  6. 2021Exemplar-Based 3D Portrait Stylizationcited by 21
  7. 20213DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstructioncited by 16
  8. 2024Deformable One-shot Face Stylization via DINO Semantic Guidancecited by 14
  9. 2023DemoCaricature: Democratising Caricature Generation with a Rough Sketchcited by 10
  10. 2021StyleCariGAN: Caricature Generation via StyleGAN Feature Map Modulationcited by 9
  11. 2022Industrial Style Transfer with Large-scale Geometric Warping and Content Preservationcited by 9
  12. 2023DeformToon3D: Deformable 3D Toonification from Neural Radiance Fieldscited by 9
16 more
  1. 2021A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translationcited by 8
  2. 2022DCT-Net: Domain-Calibrated Translation for Portrait Stylizationcited by 6
  3. 2023StyO: Stylize Your Face in Only One-shotcited by 6
  4. 2024Generalizable Face Landmarking Guided by Conditional Face Warpingcited by 6
  5. 2023Fix the Noise: Disentangling Source Feature for Controllable Domain Translationcited by 4
  6. 2022Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Mapscited by 3
  7. 2023Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translationcited by 3
  8. 2024Hide and Seek: How Does Watermarking Impact Face Recognition?cited by 2
  9. 2023MODIFY: Model-driven Face Stylization without Style Imagescited by 1
  10. 2026StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognitioncited by 1
  11. 2021Non-Parametric Neural Style Transfercited by 0
  12. 20233D Face Arbitrary Style Transfercited by 0
  13. 2023FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfercited by 0
  14. 2023High-Quality Face Caricature via Style Translationcited by 0
  15. 2026Neural Image Space Tessellation effectcited by 0
  16. 2026CaricHarmony: Contrastive Diffusion Paths for Identity-Preserving Caricature Synthesiscited by 0