Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
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Evolution of Generative CV Models
The chapter traces the evolution of generative computer vision models, highlighting the transition from traditional image generation methods to incorporating transformer architecture and diffusion models. It discusses the success of multimodal models like CLIP and stable diffusion in combining visual and linguistic knowledge for text-to-image generation. The chapter also introduces Sora as a groundbreaking video generation tool, emphasizing its technical details and emergence of confirmed emergent abilities in large vision models.
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