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New RINO formulation unifies vision tasks using RGB as a universal language

Researchers have introduced RINO (RGB In and RGB Out), a novel formulation for vision models that treats diverse visual data, such as masks and depth maps, as RGB images. This approach allows a single model architecture to handle various visual tasks by converting them into an RGB-to-RGB image editing problem, similar to how language models process text. RINO demonstrates strong zero-shot performance on both understanding and generation tasks without task-specific fine-tuning, aiming to facilitate unified vision-language systems. AI

IMPACT This formulation could lead to more versatile and unified vision models, simplifying the development and deployment of AI systems for a wider range of visual tasks.

RANK_REASON The cluster describes a new research paper published on arXiv detailing a novel formulation for vision models.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New RINO formulation unifies vision tasks using RGB as a universal language

COVERAGE [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Let RGB Be the Language of Vision

    This work introduces a unified formulation for vision models, where diverse forms of visual information beyond natural images, such as masks, depth maps, and other structured visual signals, are all represented as RGB images, while general visual tasks can be converted into a com…

  2. arXiv cs.CV TIER_1 English(EN) · Timing Yang, Jinrui Yang, Xinlong Li, Yuhan Wang, Haoran Li, Yanqing Liu, Guoyizhe Wei, Jixuan Ying, Chen Wei, Rama Chellappa, Yuyin Zhou, Cihang Xie, Alan Yuille, Feng Wang ·

    Let RGB Be the Language of Vision

    arXiv:2607.12450v1 Announce Type: new Abstract: This work introduces a unified formulation for vision models, where diverse forms of visual information beyond natural images, such as masks, depth maps, and other structured visual signals, are all represented as RGB images, while …

  3. arXiv cs.CV TIER_1 English(EN) · Feng Wang ·

    Let RGB Be the Language of Vision

    This work introduces a unified formulation for vision models, where diverse forms of visual information beyond natural images, such as masks, depth maps, and other structured visual signals, are all represented as RGB images, while general visual tasks can be converted into a com…