Video gay sangetods
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. Then, run the script:. Notifications You must be signed in to change notification settings.
Dismiss alert. Reload to refresh your session. 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. Last commit date.
You switched accounts on another tab or window. Go to file. Folders and files Name Name Last commit message. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the. If you find our project useful, hope you can star our repo and cite our paper as follows:.
GitHub MME Benchmarks Video
Open more actions menu. š” I also have other video-language projects that may interest you. You are strictly prohibited from engaging in any activity that will potentially violate these guidelines. Video-LLaVA: Learning United Visual Representation by Alignment Before Projection If you like our project, please give us a star ā on GitHub for latest update.
The training of each cross-modal branch i. Pre-training on the Webvid Download the metadata and video following the instructions from the official Github repo of Webvid. Before using the repository, make sure you have obtained the following checkpoints:.
Then, run the following script:. Uh oh! Open-Sora Plan: Open-Source Large Video Generation Model. Please reload this page. The folder structure of the dataset is shown below:. Video-R1 significantly outperforms previous models across most benchmarks.
Then run the script:. ByteDance ā 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.
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Video R1 Reinforcing Video
This is the repo for the Video-LLaMA project, which is working on empowering large language models with video and audio understanding capabilities. Skip to content. Branches Tags.