Learning united visual representation by alignment before projection if you like our project, please give us a star ⭐ on github for latest update Notebooklm may take a while to generate the video overview, feel free to come back to your notebook later. Hack the valley ii, 2018 This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the. 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. All you need to do is enter a description
Gemini then generates a draft—including a script, ai voiceover, scenes, and content—for the video You can then edit the draft as needed On your computer, open google vids. It can generate up to 50 fps videos at native 4k resolution with synchronized audio in one pass Added a preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the llm background section. Videollama 3 is a series of multimodal foundation models with frontier image and video understanding capacity
