2023 book, screw binding CNY 78
Half a century ago, when computer animation first started to emerge, it would take a whole week to complete just a few seconds of animation by computer. Today, thanks to the development of AI technology, if you have a decent computer, you can use AI technology to produce extremely realistic images and animations in just a few seconds.The development of technology has opened up new possibilities for film and television creation, but it has also given rise to a new set of problems. In January 2023, the Icosa Magazine held a workshop on the theme of “The Ghost in the Machine”, inviting more than ten enthusiasts interested in this topic to discuss and create. The group spent three weeks learning about different AI technologies and applying them to their own work. This booklet is a record of this exploration.In this handbook, an array of tools used in the field of film and television creation, ranging from pre-production scripting to post-production visual effects generation, are introduced. It also contains an article by Leilei Xia on some of the ethical challenges posed by the use of AI technology. A review piece by film critic Gene Youngblood from the early 1980s on the use of computers in film creation, and an essay by mathematician Claude Berge from the 1960s on the potential of combinatorial literature, are reprinted as well. The book ends with an appendix where we introduce readers to the ten short films born out of the filmmaking workshop.
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这是一本关于AI用于个人影视创作的工具介绍的简易手册，包括前期的剧本构思，到后期的视觉效果处理，还有相关课程和其他资源。它来源于“机器之心”限时影视创作工作坊，在书的最后可以看到这些片子和他们使用的技术。前言是因技术应用带来的伦理挑战；书中重印了电影评论家 Gene Youngblood 写于80年代初关于计算机在电影创作方面的评论文章，以及图论学家 Claude Berge 写于60年代的关于组合文学之潜在可能性的探讨。
工具
CATALOG-TOOLS
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chaGPT
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Stable Diffusion
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Midjourney
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DALL-E
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Lexica
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Deforum
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Dramatron
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Runway
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Ebsynth
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ELIZA
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虚拟人
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Character.AI
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HuggingFace
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GPU 租用
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langchain
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gpt index
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写提示语(Prompting)技巧
作品
CATALOG-WORKS
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走进神经网络
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计算机动画简史
(1964年 - 1982年)
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迷幻之梦
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分形梦
图书
CATALOG-BOOKS
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机器学习时代的艺术
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像素传
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动画场景分析
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计算机动画简史
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基于 Transformer 的语言处理
课程
CATALOG-BOOKS
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深度神经网络与艺术
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nanoGPT：从零开始造一个自己的GPT程序
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深度强化学习：从入精通