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Latest commit. Gradio Web UI. CLI Inference. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth. You signed in with another tab or window. Open-Sora Plan: Open-Source Large Video Generation Model.

Last commit date. Folders and files Name Name Last commit message. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-RB achieves a new state-of-the-art accuracy of %, surpassing GPT-4o, a proprietary model, while using only 32 frames and 7B parameters.

Notifications You must be signed in to change notification settings. 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.

We also provide online demo in Huggingface Spaces. If you want to load the model e. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the. Branches Tags. There was an error while loading.

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GitHub MME Benchmarks Video :

We open source all codes. Video understanding. Go to file. Dismiss alert. Video-LLaVA exhibits remarkable interactive capabilities between images and videos, despite the absence of image-video pairs in the dataset. 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. You signed out in another tab or window. Image understanding. Highly recommend trying out our web demo by the following command, which incorporates all features currently supported by Video-LLaVA.

Video-R1 significantly outperforms previous models across most benchmarks.