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An Introduction to Image Synthesis with Generative Adversarial Nets

arXiv 1803.04469 ↗First posted 12 Mar 2018cs.CVcited by 32

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Abstract (arXiv)

There has been a drastic growth of research in Generative Adversarial Nets (GANs) in the past few years. Proposed in 2014, GAN has been applied to various applications such as computer vision and natural language processing, and achieves impressive performance. Among the many applications of GAN, image synthesis is the most well-studied one, and research in this area has already demonstrated the great potential of using GAN in image synthesis. In this paper, we provide a taxonomy of methods used in image synthesis, review different models for text-to-image synthesis and image-to-image translation, and discuss some evaluation metrics as well as possible future research directions in image synthesis with GAN.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Mar 2018.

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Citing papers per year: 2021: 6; 2022: 10; 2023: 5; 2024: 8; 2025: 1; 2026: 2.

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  1. 2022Generative Adversarial Networkscited by 5,603
  2. 2021Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forwardcited by 82
  3. 2021Deepfake Video Detection Using Convolutional Vision Transformercited by 79
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  6. 2021Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poemscited by 18
  7. 20223D-Aware Video Generationcited by 17
  8. 2024CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTscited by 17
  9. 2022ARMANI: Part-level Garment-Text Alignment for Unified Cross-Modal Fashion Designcited by 16
  10. 2024Tri2-plane: Thinking Head Avatar via Feature Pyramidcited by 16
  11. 2023DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignmentcited by 15
  12. 2024Quantum Denoising Diffusion Modelscited by 11
20 more
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  3. 2024GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Modelcited by 6
  4. 2022Introducing Non-Linear Activations into Quantum Generative Modelscited by 5
  5. 2022Subject-Specific Lesion Generation and Pseudo-Healthy Synthesis for Multiple Sclerosis Brain Imagescited by 5
  6. 2025OuroMamba: A Data-Free Quantization Framework for Vision Mambacited by 5
  7. 2022Pursuit of a Discriminative Representation for Multiple Subspaces via Sequential Gamescited by 4
  8. 2023Generative Adversarial Networks for Brain Images Synthesis: A Reviewcited by 4
  9. 2021Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Studycited by 3
  10. 2022Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Reviewcited by 3
  11. 2022Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networkscited by 3
  12. 2022Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challengescited by 3
  13. 2024RapidNet: Multi-Level Dilated Convolution Based Mobile Backbonecited by 3
  14. 2024Hierarchical Conditional Tabular GAN for Multi-Tabular Synthetic Data Generationcited by 1
  15. 2026Image-to-Image Translation Framework Embedded with Rotation Symmetry Priorscited by 1
  16. 2021A Statistician Teaches Deep Learningcited by 0
  17. 2023Survey on Controlable Image Synthesis with Deep Learningcited by 0
  18. 2023Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birdscited by 0
  19. 2024Learning solutions to some toy constrained optimization problems in infinite dimensional Hilbert spacescited by 0
  20. 2026Additive Nonparametric Regression with Spatial and Network Objectscited by 0