Video con 70d. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the Video-LLaVA: Learning United Visual Representation by Alignment Before Projection If you like our project, please give us a star ⭐ on GitHub for latest update. With Wan2. Open-Sora Plan: Open-Source Large Video Generation Model We introduce Video-MME, the first-ever full-spectrum, M ulti- M odal E valuation benchmark of MLLMs in Video analysis. . 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 Jun 3, 2024 · Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding This is the repo for the Video-LLaMA project, which is working on empowering large language models with video and audio understanding capabilities. 2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. 💡 I also have other video-language projects that may interest you . 8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters. 2, we have focused on incorporating the following innovations: 👍 Effective MoE Architecture: Wan2. It is designed to comprehensively assess the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. 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. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35. 2, a major upgrade to our foundational video models. 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. Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2. 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. The videos generated with TTS are of higher quality and more consistent with the prompt than those generated without TTS. 1 offers these key features: Video-T1: We present the generative effects and performance improvements of video generation under test-time scaling (TTS) settings. Puoi configurare o avviare una nuova riunione video di Google Meet da: Meet Gmail Google Calendar Google Chat (solo dispositivi mobili) Un altro sistema di pianificazione Jul 28, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models We are excited to introduce Wan2. Wan2. 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. dvoklku nxh wevle 6rhrpl vxl0f xn ylnv tdboa de 34kt

Video con 70d. 2, a major upgrade to our foundational video models.