mlsanityData to 14 Oct 2026

A Style-Based Generator Architecture for Generative Adversarial Networks

arXiv 1812.04948 ↗First posted 12 Dec 2018cs.NE cs.LG stat.MLcited by 6,013

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Cited by 1,392 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and identity when trained on human faces) and stochastic variation in the generated images (e.g., freckles, hair), and it enables intuitive, scale-specific control of the synthesis. The new generator improves the state-of-the-art in terms of traditional distribution quality metrics, leads to demonstrably better interpolation properties, and also better disentangles the latent factors of variation. To quantify interpolation quality and disentanglement, we propose two new, automated methods that are applicable to any generator architecture. Finally, we introduce a new, highly varied and high-quality dataset of human faces.

Key facts. Cited by 6,013 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Dec 2018.

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Citing papers per year: 2019: 1; 2020: 3; 2021: 848; 2022: 1049; 2023: 1294; 2024: 1177; 2025: 993; 2026: 648.

6,013 papers.

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  1. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  2. 2020Denoising Diffusion Implicit Modelscited by 9,781
  3. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  4. 2022Scalable Diffusion Models with Transformerscited by 6,054
  5. 2022Generative Adversarial Networkscited by 5,627
  6. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  7. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,614
  8. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  9. 2022Elucidating the Design Space of Diffusion-Based Generative Modelscited by 3,045
  10. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,611
  11. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,431
  12. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,937
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  1. 2023VBench: Comprehensive Benchmark Suite for Video Generative Modelscited by 1,822
  2. 2021Decision Transformer: Reinforcement Learning via Sequence Modelingcited by 1,546
  3. 2021Image Super-Resolution via Iterative Refinementcited by 1,511
  4. 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,476
  5. 2022RePaint: Inpainting using Denoising Diffusion Probabilistic Modelscited by 1,430
  6. 2022Diffusion Posterior Sampling for General Noisy Inverse Problemscited by 1,416
  7. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,205
  8. 2021Alias-Free Generative Adversarial Networkscited by 1,184
  9. 2022Imagic: Text-Based Real Image Editing with Diffusion Modelscited by 1,178
  10. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,114
  11. 2020Improved Techniques for Training Score-Based Generative Modelscited by 1,043
  12. 2024Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Predictioncited by 1,023
  13. 2023One-step Diffusion with Distribution Matching Distillationcited by 1,019
  14. 2021StyleCLIP: Text-Driven Manipulation of StyleGAN Imagerycited by 991
  15. 2022Denoising Diffusion Restoration Modelscited by 963
  16. 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 927
  17. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
  18. 2023GLIGEN: Open-Set Grounded Text-to-Image Generationcited by 781
  19. 2024Autoregressive Model Beats Diffusion: Llama for Scalable Image Generationcited by 777
  20. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 774
  21. 2023Adversarial Diffusion Distillationcited by 759
  22. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  23. 2022Autoregressive Image Generation using Residual Quantizationcited by 722
  24. 2023Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animationcited by 688
  25. 2021VideoGPT: Video Generation using VQ-VAE and Transformerscited by 658
  26. 2021Vector-quantized Image Modeling with Improved VQGANcited by 658
  27. 2023Muse: Text-To-Image Generation via Masked Generative Transformerscited by 648
  28. 2021DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulationcited by 642
  29. 2023Language Model Beats Diffusion -- Tokenizer is Key to Visual Generationcited by 640
  30. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 635
  31. 2022Compositional Visual Generation with Composable Diffusion Modelscited by 624
  32. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generationcited by 597
  33. 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Modelcited by 583
  34. 2021Designing an Encoder for StyleGAN Image Manipulationcited by 544
  35. 2022Fast Sampling of Diffusion Models with Exponential Integratorcited by 532
  36. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 529
  37. 2021Tackling the Generative Learning Trilemma with Denoising Diffusion GANscited by 516
  38. 2021FastNeRF: High-Fidelity Neural Rendering at 200FPScited by 511

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