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Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub 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
Wan: Open and Advanced Large-Scale Video Generative Models 👍 Multiple Tasks: Wan2 1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation 👍 Visual Text Generation: Wan2 1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications
DepthAnything Video-Depth-Anything - GitHub 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
YouTube video upload tips - Computer - YouTube Help - Google Help Getting started is key! You will have the option to edit video settings or delete the video later on There is no need for fancy equipment, what you have at hand will do Remember to have fun with it! Think about what inspires you and get started with that We recommend Try uploading a test video to get comfortable with the steps
About Video campaigns - Google Ads Help Showing video ads may seem pretty sophisticated, but that's the beauty behind these campaigns: They're simple to set up and manage You can use videos from your own YouTube account, and similar to other Google Ads campaigns, you can view video ad performance and make changes to your targeting
HunyuanCustom: A Multimodal-Driven Architecture for Customized Video . . . Customized video generation aims to produce videos featuring specific subjects under flexible user-defined conditions, yet existing methods often struggle with identity consistency and limited input modalities In this paper, we propose HunyuanCustom, a multi-modal customized video generation
Create a Video campaign - Google Ads Help Video campaigns allow you to reach and engage with your audience on YouTube, Google TV, and through Google video partners When you create a Video campaign, you can choose from different campaign goals, campaign subtypes, and ad formats that tell people about your products and services and get them to take action
HunyuanVideo: A Systematic Framework For Large Video . . . - GitHub We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models In order to train HunyuanVideo model, we adopt several key technologies for model learning, including data
stepfun-ai Step-Video-T2V - GitHub We present Step-Video-T2V, a state-of-the-art (SoTA) text-to-video pre-trained model with 30 billion parameters and the capability to generate videos up to 204 frames To enhance both training and inference efficiency, we propose a deep compression VAE for videos, achieving 16x16 spatial and 8x temporal compression ratios