RT Design Arena (@Designarena)BREAKING: Veo 3.1 Fast and Veo 3.1 by @GoogleDeepMind are in 1st and 2nd place on Multi-Image to Video ArenaThese models can successfully reference multiple input images to create a video that users loveAt an average generation time of 48 seconds, they are also the two fastest video generation modelsHuge congrats to the @GoogleDeepMind team for this achievement! ...

Video Generation Models Landscape - Delphi Intelligence 发布关于视频生成模型的报告 [1] - 报告分析了当前视频生成模型的现状 [1] - 报告分析了该领域的竞争者 [1] - 报告预测了未来几年该领域的发展趋势 [1]

Model Overview - Google DeepMind's Veo 3 is a state-of-the-art video generation model [1] - Veo 3 generates video with synchronized audio from text and image prompts [1] - Veo 3 understands intricate details, maintains coherence, and simulates realistic physics and camera movements [1] Capabilities & Features - Veo 3 offers advanced capabilities like semantic context rendering and cinematic control [1] - Veo 3 can generate dialogue, sound effects, and music [1] Accessibility & Integration - Veo 3 is accessible via Vertex AI (preview) [1] - Developers can integrate Veo 3 into their workflows or test it in the Gemini App, Flow, and via the Gemini APIs on Google Cloud [1] Potential Applications - Veo 3 empowers innovation in filmmaking, game development, and education [1]