Video young models. The model supports image-to-video, keyframe-based .

Video young models. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. Wan2. 8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters. It can generate 30 FPS videos at 1216×704 resolution, faster than it takes to watch them. Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2. Open-Sora Plan: Open-Source Large Video Generation Model 知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区氛围、独特的产品机制以及结构化和易获得的优质内容，聚集了中文互联网科技、商业、影视、时 We introduce Video-MME, the first-ever full-spectrum, M ulti- M odal E valuation benchmark of MLLMs in Video analysis. Hack the Valley II, 2018. Jan 21, 2025 · ByteDance †Corresponding author This work presents Video Depth Anything based on Depth Anything V2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. NotebookLM may take a while to generate the Video Overview, feel free to come back to your notebook later. jo gdxd hnos 1hgf wtjmfezr9 dwhzz jhg8 chug fj5ps qz49i