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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. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth 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 Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35.8%, 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 machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018. - k4yt3x/video2x 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. Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features: 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. 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. Introduced a novel taxonomy for Vid-LLMs based on video representation and LLM functionality. Added a Preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the LLM Background section. Video Overviews, including voices and visuals, are AI-generated and may contain inaccuracies or audio glitches. NotebookLM may take a while to generate the Video Overview, feel free to come back to your notebook later. David Dooley Tips (Free). 1 529 subscribers. View in Telegram. Preview channel. David Dooley Tips • Tipsters. How I Use Telegram Tips Properly. There are a few quality tipsters out there on Telegram, but I never follow blindly. I use the best ones as a second opinion — something to compare against my own research. David Dooley Tips Free Telegram Group. Best tipsters on Telegram 2. David Dooley is a popular tipster, who specialises in horse racing. David Dooley Tips VIP Telegram Private Group. A clear winner for the top-rated UK Telegram tipster is David Dooley’s Tips VIP channel, which secures the most significant profit percentage and winning margins. VIP David Dooley Tips Telegram Channel. Joining Telegram tipsters requires downloading the Telegram app. After setting up a free account, users can access tipster groups via invite links. David Dooley Tips has solidified its position as the leading football and racing tipster in the United Kingdom, attracting sports enthusiasts looking to consistently profit from their bets. Smart bettors eagerly join David Dooley’s private telegram tips The site owner hides the web page description. Discover why David Dooley Tips is the best Telegram tipster. Dooley doesn’t just offer tips; he offers a methodology backed by meticulous analysis and an innate understanding
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