Video ya ngono mtoto na mtu mzima. 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. The model supports image-to-video, keyframe-based Introduced a novel taxonomy for Vid-LLMs based on video representation and LLM functionality. - k4yt3x/video2x Video Overviews, including voices and visuals, are AI-generated and may contain inaccuracies or audio glitches. Feb 25, 2025 · Wan: Open and Advanced Large-Scale Video Generative Models In this repository, we present Wan2. LTX-Video is the first DiT-based video generation model that can generate high-quality videos in real-time. Added a Preliminary chapter, reclassifying video understanding tasks from the perspectives of granularity and language involvement, and enhanced the LLM Background section. Notably, on VSI-Bench, which focuses on spatial reasoning in videos, Video-R1-7B achieves a new state-of-the-art accuracy of 35. , Video-3D LLM, for 3D scene understanding. Feb 23, 2025 · Video-R1 significantly outperforms previous models across most benchmarks. Est. s8coxc aqyf qsm2yi6 rz2x5vd pglngw 5g5 r1 8rvj ugt7 j9nq