mlsanityData to 14 Oct 2026

Conditional Generative Adversarial Nets

arXiv 1411.1784 ↗First posted 6 Nov 2014cs.LG cs.AI cs.CVcited by 2,162

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Cited by 229 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Generative Adversarial Nets [8] were recently introduced as a novel way to train generative models. In this work we introduce the conditional version of generative adversarial nets, which can be constructed by simply feeding the data, y, we wish to condition on to both the generator and discriminator. We show that this model can generate MNIST digits conditioned on class labels. We also illustrate how this model could be used to learn a multi-modal model, and provide preliminary examples of an application to image tagging in which we demonstrate how this approach can generate descriptive tags which are not part of training labels.

Key facts. Cited by 2,162 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Nov 2014.

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Citing papers per year: 2019: 2; 2020: 3; 2021: 535; 2022: 449; 2023: 455; 2024: 339; 2025: 257; 2026: 122.

2,162 papers.

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  2. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
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  8. 2021GAN Inversion: A Surveycited by 367
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  10. 2023A Comprehensive Survey on Test-Time Adaptation under Distribution Shiftscited by 359
  11. 2023Repurposing Diffusion-Based Image Generators for Monocular Depth Estimationcited by 327
  12. 2021HuMoR: 3D Human Motion Model for Robust Pose Estimationcited by 324
38 more
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  10. 2023DiffIR: Efficient Diffusion Model for Image Restorationcited by 255
  11. 2021Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Modelscited by 252
  12. 2021LLVIP: A Visible-infrared Paired Dataset for Low-light Visioncited by 231
  13. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 224
  14. 2022CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusioncited by 223
  15. 2023I2SB: Image-to-Image Schr"odinger Bridgecited by 218
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  17. 2024Diffusion Model-Based Image Editing: A Surveycited by 212
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  28. 2025WorldScore: A Unified Evaluation Benchmark for World Generationcited by 156
  29. 2021GNeRF: GAN-based Neural Radiance Field without Posed Cameracited by 153
  30. 2023DDFM: Denoising Diffusion Model for Multi-Modality Image Fusioncited by 153
  31. 2023Continual Diffusion: Continual Customization of Text-to-Image Diffusion with C-LoRAcited by 141
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  33. 2023Dataset Distillation: A Comprehensive Reviewcited by 127
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  38. 2021Geometric Deep Learning on Molecular Representationscited by 113

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