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Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications

arXiv 2008.02793 ↗First posted 6 Aug 2020cs.CVcited by 48

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Abstract (arXiv)

The generative adversarial network (GAN) framework has emerged as a powerful tool for various image and video synthesis tasks, allowing the synthesis of visual content in an unconditional or input-conditional manner. It has enabled the generation of high-resolution photorealistic images and videos, a task that was challenging or impossible with prior methods. It has also led to the creation of many new applications in content creation. In this paper, we provide an overview of GANs with a special focus on algorithms and applications for visual synthesis. We cover several important techniques to stabilize GAN training, which has a reputation for being notoriously difficult. We also discuss its applications to image translation, image processing, video synthesis, and neural rendering.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Aug 2020.

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Citing papers per year: 2021: 12; 2022: 13; 2023: 12; 2024: 5; 2025: 6.

48 papers.

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  1. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
  2. 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusioncited by 309
  3. 2022Depth-Aware Generative Adversarial Network for Talking Head Video Generationcited by 177
  4. 2022Pretraining is All You Need for Image-to-Image Translationcited by 160
  5. 2021StyleSwin: Transformer-based GAN for High-resolution Image Generationcited by 152
  6. 2021Pros and Cons of GAN Evaluation Measures: New Developmentscited by 121
  7. 2023VidToMe: Video Token Merging for Zero-Shot Video Editingcited by 111
  8. 2021Regularizing Generative Adversarial Networks under Limited Datacited by 105
  9. 2021GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worldscited by 98
  10. 2021Multimodal Conditional Image Synthesis with Product-of-Experts GANscited by 75
  11. 2021CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fieldscited by 55
  12. 2021Anycost GANs for Interactive Image Synthesis and Editingcited by 54
36 more
  1. 2024Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Modelscited by 54
  2. 2023Analyzing Bias in Diffusion-based Face Generation Modelscited by 45
  3. 2021DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Networkcited by 37
  4. 20223DFaceShop: Explicitly Controllable 3D-Aware Portrait Generationcited by 22
  5. 2021A Neural Tangent Kernel Perspective of GANscited by 21
  6. 2024Deep MMD Gradient Flow without adversarial trainingcited by 18
  7. 2025TR-DQ: Time-Rotation Diffusion Quantizationcited by 18
  8. 2021Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesiscited by 16
  9. 2025Simulating the Visual World with Artificial Intelligence: A Roadmapcited by 15
  10. 2022Improving GANs for Long-Tailed Data through Group Spectral Regularizationcited by 14
  11. 2023Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-artcited by 14
  12. 2025On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devicescited by 14
  13. 2021Efficient Conditional GAN Transfer with Knowledge Propagation across Classescited by 13
  14. 2022Human Image Generation: A Comprehensive Surveycited by 11
  15. 2023Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurementcited by 11
  16. 2023Image Synthesis under Limited Data: A Survey and Taxonomycited by 9
  17. 2022Content-Based Search for Deep Generative Modelscited by 7
  18. 2023Perceptual Quality Improvement in Videoconferencing using Keyframes-based GANcited by 6
  19. 2022Exploiting Spatial-temporal Correlations for Video Anomaly Detectioncited by 5
  20. 2023Synthetic data generation for a longitudinal cohort study -- Evaluation, method extension and reproduction of published data analysis resultscited by 5
  21. 2025Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applicationscited by 5
  22. 2022Stay Positive: Non-Negative Image Synthesis for Augmented Realitycited by 4
  23. 2022Video Coding Using Learned Latent GAN Compressioncited by 4
  24. 2023Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Modelscited by 4
  25. 2022Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Reviewcited by 3
  26. 2022A comprehensive survey on semantic facial attribute editing using generative adversarial networkscited by 3
  27. 2024RapidNet: Multi-Level Dilated Convolution Based Mobile Backbonecited by 3
  28. 2024Principles of Designing Robust Remote Face Anti-Spoofing Systemscited by 2
  29. 2021Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Datacited by 1
  30. 20233D GANs and Latent Space: A comprehensive surveycited by 1
  31. 2023Towards Scenario-based Safety Validation for Autonomous Trains with Deep Generative Modelscited by 1
  32. 2025Sparse2Dense: A Keypoint-driven Generative Framework for Human Video Compression and Vertex Predictioncited by 1
  33. 2023Utilizing Generative Adversarial Networks for Stable Structure Generation in Angry Birdscited by 0
  34. 2023Black-Box Training Data Identification in GANs via Detector Networkscited by 0
  35. 2024Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequencescited by 0
  36. 2025On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devicescited by 0