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For example, Video-R1-7B attains a 35. A machine learning-based video super resolution and frame interpolation framework. Jan 21, 2025 · 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. 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. The table below shows the approximate speeds recommended to play each video resolution. 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. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy. 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. js is a free and open source library, and we appreciate any help you're willing to give - whether it's fixing bugs, improving documentation, or suggesting new features. Open-Sora Plan: Open-Source Large Video Generation Model How YouTube search works YouTube has a tremendous amount of video content — over 500 hours are uploaded every minute! Without a robust search function, finding what you need would be nearly impossible. s6yfkrgp
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