Google AI News 09月24日 17:22
AI技术赋能静态艺术,拓展故事叙述新维度
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Google Arts & Culture 利用其先进的视频生成模型 Veo,突破了传统静态图像的局限,为艺术品和历史档案注入了新的生命力。Veo 能够从静态图像中推断出合理的运动,连接图像的过去与未来,为策展人开启了全新的叙事可能性。该技术通过两种模式运作:一种是“动画模式”,由专家定义场景中的隐含能量,如雨滴、飘动的旗帜等,Veo 据此生成连贯的高清视频序列,将静态图像中的潜在故事转化为视觉事件;另一种是“写实模式”,Veo 以静态图像为基础,模拟其可能存在的真实环境,生成高度逼真的视频,如同打开一扇通往艺术创作之前现实世界的数字窗口。这些创新正在为数字档案的保存和视觉叙事开辟新的道路。

✨ **AI驱动的动态叙事:** Veo作为Google先进的视频生成模型,能够从静态艺术品和历史档案中提取并生成合理的运动,打破了传统单帧图像的限制,为艺术内容的呈现和故事讲述开辟了新的维度,使静态内容焕发活力。

🎬 **两种创新模式:** 该技术通过“动画模式”和“写实模式”两种方式增强静态内容。动画模式允许策展人定义场景中的隐含动作,如雨滴或人物的动态,Veo据此生成连贯的视频;写实模式则侧重于模拟图像可能存在的真实环境,生成高度逼真的视频,展现艺术创作之前的可能情境。

🖼️ **拓展策展与保存的可能性:** Veo的技术突破不仅在于生成视频,更在于其能够为数字档案提供分析就绪的动态资产,极大地丰富了艺术品的呈现方式,并为历史文物的保存和研究提供了全新的视角和工具,促进了文化遗产的传播和理解。

💡 **技术与艺术的融合:** 这一创新是技术进步与艺术策展深度融合的体现,Veo通过计算机视觉技术,将静态的视觉信息转化为动态的叙事,为艺术家、策展人和观众提供了一种前所未有的互动和体验方式,使得艺术作品的解读更加丰富和深入。

Using technology to explore art in new ways and broaden its accessibility comes with a technical and curatorial challenge: how to move beyond the single, fixed frame. Every static masterpiece, historical photograph, or archival artifact holds not just a captured moment, but the potential for a story that continues beyond the image's edge. The recent initiatives by Google Arts & Culture focused on solving this through Veo — Google's advanced video generation model — creating a framework for animating static visual assets from Moving Archives with Harley Davidson Museum and Moving Paintings with Fukuda Art Museum in Japan, is unlocking new storytelling possibilities for curators.

The technical breakthrough is Veo's ability to extrapolate plausible movement from a fixed composition. The model bridges the gap between a static input and hundreds of video frames, generating temporal coherence that feels intentional.

Google Arts & Culture has developed two distinct operational modes for this process, each designed to answer a different kind of visual question:

1. Animation Mode: Revealing the Narrative

This mode is driven by expert-defined inputs. Curators, in partnership with Google teams, are identifying the implied energy within the scene — the falling rain, the passing traveler, the fluttering banner — to translate these into specific movement vectors. Veo then synthesizes this input to render a continuous, high-definition sequence. The result is a controlled narrative unfolding, transforming the composition's implied story into an explicit visual event, inviting viewers to analyze the moment after the artist's brush left the canvas.

2. Photorealistic Mode: Imagining the Source

This mode addresses the question of what could actually have been here. It focuses purely on contextual and environmental plausibility. Veo uses the static image as a visual seed to generate a high-fidelity video that simulates the photorealistic world that might have inspired the original view. This computer vision process predicts a stable, temporally coherent environment from a single-frame cue, essentially offering a digital window into the reality that preceded the artistic interpretation.

With the help of Veo, we have prototyped a pathway to augment digital archives into dynamic, analysis-ready assets, forging a new pathway for both preservation and visual storytelling.

Explore Moving Paintings at goo.gle/moving-paintings on Google Arts & Culture.

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AI Veo Google Arts & Culture 视频生成 艺术 策展 数字档案 故事叙述 AI Veo Google Arts & Culture Video Generation Art Curation Digital Archives Storytelling
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