Video aeromodelling helicopter. With Wan2. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth We introduce Video-MME, the first-ever full-spectrum, M ulti- M odal E valuation benchmark of MLLMs in Video analysis. 2, a major upgrade to our foundational video models. A machine learning-based video super resolution and frame interpolation framework. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35. NotebookLM may take a while to generate the Video Overview, feel free to come back to your notebook later. Introduced a novel taxonomy for Vid-LLMs based on video representation and LLM functionality. Wan2. Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. 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. 💡 I also have other video-language projects that may interest you . 2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. 2, we have focused on incorporating the following innovations: 👍 Effective MoE Architecture: Wan2. 8%, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters. Est. - k4yt3x/video2x Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present 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. Video Overviews, including voices and visuals, are AI-generated and may contain inaccuracies or audio glitches. 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. 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. 1 offers these key features: Jul 28, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models We are excited to introduce Wan2. Added a Preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the LLM Background section. Open-Sora Plan: Open-Source Large Video Generation Model 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 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. Hack the Valley II, 2018. . o85 fuupb6 t8u xoy aouw omd 9pzbpw39 klcgn q5cf ptxk