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

By PulseAugur Editorial · [1 sources] ·

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

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

RANK_REASON This is a research paper describing a new multimodal model and its capabilities.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

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

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This is a research paper describing a new multimodal model and its capabilities.
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139 days old
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COVERAGE [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…

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