mlsanityData to 14 Oct 2026

Temporal Generative Adversarial Nets with Singular Value Clipping

arXiv 1611.06624 ↗First posted 21 Nov 2016cs.LG cs.CVcited by 198

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Cited by 58 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic representation of unlabeled videos, and is capable of generating videos. Unlike existing Generative Adversarial Nets (GAN)-based methods that generate videos with a single generator consisting of 3D deconvolutional layers, our model exploits two different types of generators: a temporal generator and an image generator. The temporal generator takes a single latent variable as input and outputs a set of latent variables, each of which corresponds to an image frame in a video. The image generator transforms a set of such latent variables into a video. To deal with instability in training of GAN with such advanced networks, we adopt a recently proposed model, Wasserstein GAN, and propose a novel method to train it stably in an end-to-end manner. The experimental results demonstrate the effectiveness of our methods.

Key facts. Cited by 198 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Nov 2016.

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Citing papers per year: 2021: 35; 2022: 35; 2023: 42; 2024: 48; 2025: 26; 2026: 12.

198 papers.

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  1. 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,581
  2. 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,476
  3. 2022CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformerscited by 985
  4. 2021VideoGPT: Video Generation using VQ-VAE and Transformerscited by 658
  5. 2025Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusioncited by 625
  6. 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 590
  7. 2023MotionCtrl: A Unified and Flexible Motion Controller for Video Generationcited by 580
  8. 2024VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Modelscited by 579
  9. 2024Latte: Latent Diffusion Transformer for Video Generationcited by 546
  10. 2022Phenaki: Variable Length Video Generation From Open Domain Textual Descriptioncited by 484
  11. 2022Latent Video Diffusion Models for High-Fidelity Long Video Generationcited by 388
  12. 2023LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Modelscited by 349
38 more
  1. 2022MAGVIT: Masked Generative Video Transformercited by 346
  2. 2023VideoFusion: Decomposed Diffusion Models for High-Quality Video Generationcited by 331
  3. 2023Pix2Video: Video Editing using Image Diffusioncited by 320
  4. 2022MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolationcited by 309
  5. 2023Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generationcited by 302
  6. 2021StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2cited by 301
  7. 2023Preserve Your Own Correlation: A Noise Prior for Video Diffusion Modelscited by 285
  8. 2023DriveDreamer: Towards Real-world-driven World Models for Autonomous Drivingcited by 261
  9. 2021GODIVA: Generating Open-DomaIn Videos from nAtural Descriptionscited by 256
  10. 2021Motion Representations for Articulated Animationcited by 255
  11. 2022CelebV-HQ: A Large-Scale Video Facial Attributes Datasetcited by 250
  12. 2022Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformercited by 244
  13. 2024DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generationcited by 191
  14. 2022Generating Videos with Dynamics-aware Implicit Generative Adversarial Networkscited by 186
  15. 2022SimVP: Simpler yet Better Video Predictioncited by 184
  16. 2024U-KAN Makes Strong Backbone for Medical Image Segmentation and Generationcited by 179
  17. 2022Latent Image Animator: Learning to Animate Images via Latent Space Navigationcited by 175
  18. 2023MotionDirector: Motion Customization of Text-to-Video Diffusion Modelscited by 173
  19. 2023Video Probabilistic Diffusion Models in Projected Latent Spacecited by 171
  20. 2023NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generationcited by 171
  21. 2021A Good Image Generator Is What You Need for High-Resolution Video Synthesiscited by 163
  22. 2023Swap Attention in Spatiotemporal Diffusions for Text-to-Video Generationcited by 154
  23. 2024Real-Time Video Generation with Pyramid Attention Broadcastcited by 149
  24. 2021DriveGAN: Towards a Controllable High-Quality Neural Simulationcited by 125
  25. 2022Generating Long Videos of Dynamic Scenescited by 113
  26. 2024Adaptive Caching for Faster Video Generation with Diffusion Transformerscited by 108
  27. 2023VDT: General-purpose Video Diffusion Transformers via Mask Modelingcited by 103
  28. 2024Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Modelscited by 100
  29. 2023Animate-A-Story: Storytelling with Retrieval-Augmented Video Generationcited by 90
  30. 2021Make It Move: Controllable Image-to-Video Generation with Text Descriptionscited by 88
  31. 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
  32. 2022VIDM: Video Implicit Diffusion Modelscited by 78
  33. 2025SkyReels-A2: Compose Anything in Video Diffusion Transformerscited by 73
  34. 2021CCVS: Context-aware Controllable Video Synthesiscited by 69
  35. 2022Synthetic Data -- what, why and how?cited by 67
  36. 2024Fr'echet Video Motion Distance: A Metric for Evaluating Motion Consistency in Videoscited by 58
  37. 2024WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Modelcited by 57
  38. 2022Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Imagecited by 55

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