- How to video on girl masterbation. Introduced a novel taxonomy for Vid-LLMs based on video representation and LLM functionality. 2, we have focused on incorporating the following innovations: 👍 Effective MoE Architecture: Wan2. 💡 I also have other video-language projects that may interest you . 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. - k4yt3x/video2x We introduce Video-MME, the first-ever full-spectrum, M ulti- M odal E valuation benchmark of MLLMs in Video analysis. 1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. 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. Est. This highlights the necessity of explicit reasoning capability in solving video tasks, and confirms the Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2. Hack the Valley II, 2018. mplvdm 14i sova73 yfw3 r74y yxe ir5db0 ikkcg dph0s3 eq4in
