Core Insights - The core viewpoint of the article is that the evolution of video generation models is transforming the entire content production chain, moving from human-driven tools to AI-driven collaborative generation, redefining how content is created, edited, and distributed [2][3][9]. Group 1: Industry Transformation - The essence of the change is not merely that "AI can create videos," but rather that "videos are starting to be produced in an AI-driven manner" [3]. - Each breakthrough in model capabilities leads to new production methods, potentially giving rise to the next big platforms like Douyin or Bilibili [4]. - The upcoming "productivity leap" indicates a shift from multi-modal inputs (text, images, videos) to a zero-threshold generation model centered around "references" [8]. Group 2: AI Content Infrastructure - Understanding the progress of "AI content infrastructure" is crucial for entrepreneurs, as highlighted by the insights shared by the CEO of Shengshu Technology at the Jinqiu Fund's conference [5]. - Shengshu Technology has made significant advancements in video generation models, including the release of the Vidu model, which is designed to facilitate content creation in the industry [16][21]. Group 3: Challenges and Opportunities - The market opportunities lie primarily in commercial and professional creation, with three main challenges identified: interactive entertainment, commercial production efficiency, and professional creative quality [18]. - The "Reference to Video" model proposed by Shengshu Technology allows creators to define characters, props, and scenes, enabling AI to automatically extend stories and visual language, thus lowering the creative threshold [9][30]. Group 4: Creative Paradigms - Current video creation methods like text-to-video and image-to-video are seen as suboptimal, as they still rely on traditional animation logic and do not fully leverage AI's capabilities [23][28]. - The "Reference to Video" approach aims to eliminate traditional production steps, allowing creativity to be presented directly in video form [30][32]. - This model supports a wide range of subjects, including characters, props, and effects, allowing for a more flexible and efficient creative process [35][40]. Group 5: Future Directions - The goal is to ensure consistency in longer video segments, with current capabilities allowing for extensions up to 5 minutes while maintaining character integrity [40][42]. - Collaborations with the film industry are underway, aiming to meet cinema-level creative standards and produce feature films for theatrical release [44]. - The focus is on creating a new paradigm that caters to both professional creators and the general public, emphasizing creativity, storytelling, and aesthetics while simplifying the creative process [52].
生数科技CEO骆怡航:当AI理解镜头,多模态生成模型如何重构全球创意与生产体系 |「锦秋会」分享
锦秋集·2025-11-05 05:48