Video
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. There was an error while loading. Please reload this page.
GitHub
Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan offers these key features. There was an error while loading. Please reload this page. Ai
Video-R1 significantly outperforms previous models across most benchmarks. 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. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the. A python tool that uses GPT-4, FFmpeg, and OpenCV to automatically analyze videos, extract the most interesting sections, and crop them for an improved viewing experience. Generate a video script, voice and a talking face completely with AI. GitHub
Check the YouTube video’s resolution and the recommended speed needed to play the video. The table below shows the approximate speeds recommended to play each video resolution. There was an error while loading. Please reload this page. 
【EMNLP 2024 】Video
LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. It can generate 30 FPS videos at × resolution, faster than it takes to watch them. The model is trained on a large-scale dataset of diverse videos and can generate high-resolution videos with realistic and diverse content. The model supports image-to-video, keyframe-based. There was an error while loading. Please reload this page.
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With the Google Meet app, you can: Create or join scheduled or instant cloud-encrypted Google Meet meetings with a link. Ring directly to a Google Workspace, personal account, or phone number. . Wan
We introduce Video-MME, the first-ever full-spectrum, M ulti- M odal E valuation benchmark of MLLMs in Video analysis. 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. . 
DepthAnything/Video
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. Open-Sora Plan: Open-Source Large Video Generation Model. .