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Omni model unrolls context across text, image, video, and 3D for multimodal reasoning

Researchers have introduced Omni, a novel multimodal model designed for native training across diverse data types including text, images, videos, and 3D geometry. This comprehensive training approach facilitates 'Context Unrolling,' allowing the model to explicitly reason across different modal representations before generating outputs. Omni demonstrates enhanced performance in both multimodal generation and understanding tasks, showcasing advanced reasoning capabilities across various data formats. AI

影响 Introduces a new multimodal model architecture that could improve cross-modal reasoning and generation.

排序理由 This is a research paper describing a new multimodal model and its capabilities.

在 arXiv cs.CV 阅读 →

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Omni model unrolls context across text, image, video, and 3D for multimodal reasoning

报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Haoqi Fan ·

    Context Unrolling in Omni Models

    We present Omni, a unified multimodal model natively trained on diverse modalities, including text, images, videos, 3D geometry, and hidden representations. We find that such training enables Context Unrolling, where the model explicitly reasons across multiple modal representati…