安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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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
- 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
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video . . .
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
- 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 This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the
- GitHub - k4yt3x video2x: A machine learning-based video super . . .
A machine learning-based video super resolution and frame interpolation framework Est Hack the Valley II, 2018 - k4yt3x video2x
- Generate Video Overviews in NotebookLM - Google Help
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
- GitHub - Lightricks LTX-Video: Official repository for LTX-Video
LTX-Video is the first DiT-based video generation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs, API access, and open access It can generate up to 50 FPS videos at native 4K resolution with synchronized audio in one pass The model is trained on a large-scale
- Frontier Multimodal Foundation Models for Image and Video . . . - GitHub
VideoLLaMA 3 is a series of multimodal foundation models with frontier image and video understanding capacity 💡Click here to show detailed performance on video benchmarks
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