mlsanityData to 7 Oct 2026

Adversarial Video Generation on Complex Datasets

arXiv 1907.06571 ↗First posted 15 Jul 2019cs.CV cs.LG stat.MLcited by 33

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Abstract (arXiv)

Generative models of natural images have progressed towards high fidelity samples by the strong leveraging of scale. We attempt to carry this success to the field of video modeling by showing that large Generative Adversarial Networks trained on the complex Kinetics-600 dataset are able to produce video samples of substantially higher complexity and fidelity than previous work. Our proposed model, Dual Video Discriminator GAN (DVD-GAN), scales to longer and higher resolution videos by leveraging a computationally efficient decomposition of its discriminator. We evaluate on the related tasks of video synthesis and video prediction, and achieve new state-of-the-art Fr'echet Inception Distance for prediction for Kinetics-600, as well as state-of-the-art Inception Score for synthesis on the UCF-101 dataset, alongside establishing a strong baseline for synthesis on Kinetics-600.

Key facts. Cited by 33 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jul 2019.

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Citing papers per year: 2021: 14; 2022: 5; 2023: 4; 2024: 4; 2025: 4; 2026: 2.

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  3. 2022Diffusion Models for Video Prediction and Infillingcited by 134
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  6. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
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  10. 2021FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learningcited by 43
  11. 2021CoReD: Generalizing Fake Media Detection with Continual Representation using Distillationcited by 37
  12. 2021Revisiting Hierarchical Approach for Persistent Long-Term Video Predictioncited by 23
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  3. 2025Survey of Video Diffusion Models: Foundations, Implementations, and Applicationscited by 14
  4. 2021Simple Video Generation using Neural ODEscited by 9
  5. 2022INR-V: A Continuous Representation Space for Video-based Generative Taskscited by 7
  6. 2023Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformerscited by 7
  7. 2026Adaptive Video Distillation: Mitigating Oversaturation and Temporal Collapse in Few-Step Generationcited by 7
  8. 2023MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairscited by 5
  9. 2021Conditional Loss and Deep Euler Scheme for Time Series Generationcited by 4
  10. 2021Hierarchical Video Generation for Complex Datacited by 3
  11. 2022Disentangling Random and Cyclic Effects in Time-Lapse Sequencescited by 3
  12. 2024A Large-scale Universal Evaluation Benchmark For Face Forgery Detectioncited by 3
  13. 2021Video Generation from Text Employing Latent Path Construction for Temporal Modelingcited by 1
  14. 2021Pose-guided Generative Adversarial Net for Novel View Action Synthesiscited by 1
  15. 2021Efficient training for future video generation based on hierarchical disentangled representation of latent variablescited by 0
  16. 2021A Survey on GAN Acceleration Using Memory Compression Techniquecited by 0
  17. 2021LARNet: Latent Action Representation for Human Action Synthesiscited by 0
  18. 2022Cascaded Video Generation for Videos In-the-Wildcited by 0
  19. 2024Towards Multi-Task Multi-Modal Models: A Video Generative Perspectivecited by 0
  20. 2025Generating time-consistent dynamics with discriminator-guided image diffusion modelscited by 0
  21. 2025TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomycited by 0