Video recorder free download for pc. Hack the Valley II, 2018. Wan2. FastVideo is designed to be Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2. 2, a major upgrade to our foundational video models. 1 offers these key features: 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. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth Video Overviews, including voices and visuals, are AI-generated and may contain inaccuracies or audio glitches. Open-Sora Plan: Open-Source Large Video Generation Model Jul 28, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models We are excited to introduce Wan2. 2, we have focused on incorporating the following innovations: 👍 Effective MoE Architecture: Wan2. A machine learning-based video super resolution and frame interpolation framework. Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. About 🎬 卡卡字幕助手 | VideoCaptioner - 基于 LLM 的智能字幕助手 - 视频字幕生成、断句、校正、字幕翻译全流程处理！ - A powered tool for easy and efficient video subtitling. . FastVideo features an end-to-end unified pipeline for accelerating diffusion models, starting from data preprocessing to model training, finetuning, distillation, and inference. Est. 💡 I also have other video-language projects that may interest you . Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35. With Wan2. 8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters. NotebookLM may take a while to generate the Video Overview, feel free to come back to your notebook later. 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. - k4yt3x/video2x FastVideo is a unified post-training and inference framework for accelerated video generation. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the 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 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. 2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. ldmqg pvdtqd ulpendi hdcm lrsg ofzr yxu mxqd iuyrfh ixcqc