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Survey consolidates Audio-Visual Intelligence research in large foundation models

A new survey paper provides a comprehensive review of Audio-Visual Intelligence (AVI) within the context of large foundation models. It establishes a unified taxonomy for AVI tasks, covering understanding, generation, and interaction across audio and visual modalities. The paper synthesizes methodological foundations, datasets, benchmarks, and evaluation metrics, aiming to create a coherent framework for this rapidly evolving field. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Consolidates research in audio-visual intelligence, potentially accelerating development of multimodal AI systems.

RANK_REASON This is a survey paper on a research topic, not a model release or significant industry event.

Read on arXiv cs.CV →

COVERAGE [2]

  1. arXiv cs.CV TIER_1 Italiano(IT) · You Qin, Kai Liu, Shengqiong Wu, Kai Wang, Shijian Deng, Yapeng Tian, Junbin Xiao, Yazhou Xing, Yinghao Ma, Bobo Li, Roger Zimmermann, Lei Cui, Furu Wei, Jiebo Luo, Hao Fei ·

    Audio-Visual Intelligence in Large Foundation Models

    arXiv:2605.04045v1 Announce Type: new Abstract: Audio-Visual Intelligence (AVI) has emerged as a central frontier in artificial intelligence, bridging auditory and visual modalities to enable machines that can perceive, generate, and interact in the multimodal real world. In the …

  2. arXiv cs.CV TIER_1 Italiano(IT) · Hao Fei ·

    Audio-Visual Intelligence in Large Foundation Models

    Audio-Visual Intelligence (AVI) has emerged as a central frontier in artificial intelligence, bridging auditory and visual modalities to enable machines that can perceive, generate, and interact in the multimodal real world. In the era of large foundation models, joint modeling o…