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OpenAI Sora参考论文合集(32篇)

AIHub为大家整理了OpenAI Sora技术报告最后提到的参考论文合集,总共32篇。

如果你想了解Sora更多信息,点击下面访问:

  1. Unsupervised Learning of Video Representations using LSTMs
  2. Recurrent Environment Simulators
  3. World Models
  4. Generating Videos with Scene Dynamics
  5. MoCoGAN: Decomposing Motion and Content for Video Generation
  6. Adversarial Video Generation on Complex Datasets
  7. Generating Long Videos of Dynamic Scenes
  8. VideoGPT: Video Generation using VQ-VAE and Transformers
  9. NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion
  10. Imagen Video: High Definition Video Generation with Diffusion Models
  11. Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
  12. Photorealistic Video Generation with Diffusion Models
  13. Attention Is All You Need
  14. Language Models are Few-Shot Learner
  15. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
  16. ViViT: A Video Vision Transformer
  17. Masked Autoencoders Are Scalable Vision Learners
  18. Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
  19. High-Resolution Image Synthesis with Latent Diffusion Models
  20. Auto-Encoding Variational Bayes
  21. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  22. Denoising Diffusion Probabilistic Models
  23. Improved Denoising Diffusion Probabilistic Models
  24. Diffusion Models Beat GANs on Image Synthesis
  25. Elucidating the Design Space of Diffusion-Based Generative Models
  26. Scalable Diffusion Models with Transformers
  27. openai/imagegpt-largehttps://cdn.openai.com/papers/Generative_Pretraining_from_Pixels_V2.pdf
  28. Zero-Shot Text-to-Image Generation
  29. Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
  30. dataautogpt3https://cdn.openai.com/papers/dall-e-3.pdf
  31. Hierarchical Text-Conditional Image Generation with CLIP Latents
  32. SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations
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