mlsanityData to 7 Oct 2026

Lower Dimensional Kernels for Video Discriminators

arXiv 1912.08860 ↗First posted 18 Dec 2019cs.CV cs.LG eess.IVcited by 37

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Abstract (arXiv)

This work presents an analysis of the discriminators used in Generative Adversarial Networks (GANs) for Video. We show that unconstrained video discriminator architectures induce a loss surface with high curvature which make optimisation difficult. We also show that this curvature becomes more extreme as the maximal kernel dimension of video discriminators increases. With these observations in hand, we propose a family of efficient Lower-Dimensional Video Discriminators for GANs (LDVD GANs). The proposed family of discriminators improve the performance of video GAN models they are applied to and demonstrate good performance on complex and diverse datasets such as UCF-101. In particular, we show that they can double the performance of Temporal-GANs and provide for state-of-the-art performance on a single GPU.

Key facts. Cited by 37 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Dec 2019.

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Citing papers per year: 2021: 8; 2022: 9; 2023: 10; 2024: 8; 2025: 2.

37 papers.

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  1. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
  2. 2022Video Diffusion Modelscited by 2,280
  3. 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,465
  4. 2021VideoGPT: Video Generation using VQ-VAE and Transformerscited by 651
  5. 2024Latte: Latent Diffusion Transformer for Video Generationcited by 536
  6. 2022MAGVIT: Masked Generative Video Transformercited by 341
  7. 2021StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2cited by 300
  8. 2023Preserve Your Own Correlation: A Noise Prior for Video Diffusion Modelscited by 284
  9. 2022Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformercited by 244
  10. 2022Generating Videos with Dynamics-aware Implicit Generative Adversarial Networkscited by 186
  11. 2023Video Probabilistic Diffusion Models in Projected Latent Spacecited by 171
  12. 2021A Good Image Generator Is What You Need for High-Resolution Video Synthesiscited by 162
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  1. 2024Real-Time Video Generation with Pyramid Attention Broadcastcited by 140
  2. 2022Diffusion Models for Video Prediction and Infillingcited by 134
  3. 2023SimDA: Simple Diffusion Adapter for Efficient Video Generationcited by 101
  4. 2022VIDM: Video Implicit Diffusion Modelscited by 78
  5. 2021CCVS: Context-aware Controllable Video Synthesiscited by 68
  6. 2021StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGANcited by 47
  7. 2021FReTAL: Generalizing Deepfake Detection using Knowledge Distillation and Representation Learningcited by 43
  8. 2021CoReD: Generalizing Fake Media Detection with Continual Representation using Distillationcited by 37
  9. 2022Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioningcited by 37
  10. 2023Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMscited by 35
  11. 2024Video Diffusion Models: A Surveycited by 28
  12. 2024Matten: Video Generation with Mamba-Attentioncited by 24
  13. 2024AID: Adapting Image2Video Diffusion Models for Instruction-guided Video Predictioncited by 20
  14. 2023StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generationcited by 19
  15. 20223D-Aware Video Generationcited by 17
  16. 2025MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generationcited by 14
  17. 2025Video-GPT via Next Clip Diffusioncited by 8
  18. 2023Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformerscited by 7
  19. 2023MotionVideoGAN: A Novel Video Generator Based on the Motion Space Learned from Image Pairscited by 5
  20. 2024Generative AI-based data augmentation for improved bioacoustic classification in noisy environmentscited by 1
  21. 2021Xp-GAN: Unsupervised Multi-object Controllable Video Generationcited by 0
  22. 2022Autoencoding Video Latents for Adversarial Video Generationcited by 0
  23. 2023MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopycited by 0
  24. 2024JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generationcited by 0
  25. 2024COMUNI: Decomposing Common and Unique Video Signals for Diffusion-based Video Generationcited by 0