系统梳理生成模型的原理与架构，助你理解其如何创造真实内容。
Generative Models: Principles, Architectures, and Applications
- 从基础原理到实际架构，全面解析生成模型核心
- 涵盖图像、文本、视频等多模态生成应用
- 适合想深入掌握生成AI原理的研究者与开发者
生成式人工智能已成为现代人工智能领域最具变革性的力量之一，重塑了我们创造、想象和交互数字内容的方式。从逼真的图像到连贯的文本，从沉浸式视频到新型分子结构，生成模型如今驱动着曾属于科幻范畴的应用。本书旨在引导读者理解这一革命背后的基础原理、数学基础及实际架构。
原文摘要 · Abstract (English)
Generative AI has emerged as one of the most transformative forces in modern artificial intelligence, reshaping how we create, imagine, and interact with digital content. From photorealistic images to coherent text, from immersive videos to novel molecular structures, generative models now power applications that were once confined to science fiction. This book is designed to guide readers through the foundational principles, mathematical underpinnings, and practical architectures that underpin this revolution.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。