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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 consistent depth accuracy
Troubleshoot YouTube video errors - Google Help Run an internet speed test to make sure your internet can support the selected video resolution Using multiple devices on the same network may reduce the speed that your device gets You can also change the quality of your video to improve your experience Check the YouTube video’s resolution and the recommended speed needed to play the video The table below shows the approximate speeds
Video-R1: Reinforcing Video Reasoning in MLLMs - GitHub Inspired by DeepSeek-R1's success in eliciting reasoning abilities through rule-based RL, we introduce Video-R1 as the first work to systematically explore the R1 paradigm for eliciting video reasoning within MLLMs
VideoLLM-online: Online Video Large Language Model for Streaming Video Online Video Streaming: Unlike previous models that serve as offline mode (querying responding to a full video), our model supports online interaction within a video stream It can proactively update responses during a stream, such as recording activity changes or helping with the next steps in real time
PKU-YuanGroup Video-LLaVA - GitHub 😮 Highlights Video-LLaVA exhibits remarkable interactive capabilities between images and videos, despite the absence of image-video pairs in the dataset
Download the Google Meet app 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
video · GitHub Topics · GitHub Video is an electronic medium for the recording, copying, playback, broadcasting, and display of moving visual media It brings together all the techniques allowing the constitution or restitution of electrical signal representing moving images
GitHub - MME-Benchmarks Video-MME: [CVPR 2025] Video-MME: The First . . . 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