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New benchmark MultiRef-Compass evaluates multi-reference audio-video generation

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced MultiRef-Compass, a new benchmark designed to evaluate multi-reference-to-audio-video (MR2AV) generation. This benchmark addresses the limitations of existing methods by focusing on the complex task of generating coherent audio-video content from multiple references and textual instructions. MultiRef-Compass includes 350 curated samples and a four-dimensional evaluation protocol, incorporating automatic metrics and an MLLM-as-a-Judge framework to assess perceptual fidelity and reference-conditioned composition. AI

IMPACT Provides a standardized method for evaluating complex audio-video generation models, driving progress in the field.

RANK_REASON The cluster describes a new academic benchmark for evaluating a specific type of AI generation task.

Read on Hugging Face Daily Papers →

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

New benchmark MultiRef-Compass evaluates multi-reference audio-video generation

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COVERAGE [3]

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

    MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation

    Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multiple references and textual instructions. Existing benchmarks mainly focus on text-driven generation, single-reference subject preservation, or isolated audio-video …

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

    MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation

    Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multiple references and textual instructions. Existing benchmarks mainly focus on text-driven generation, single-reference subject preservation, or isolated audio-video …

  3. arXiv cs.CV TIER_1 English(EN) · Xiaohan Zhang, Yuqing Wen, Junlin Chen, Yuqi Tang, Yiting He, Lizhuo Shao, Weiming Zhu, Tengfei Liu, Yang Shi, Jialu Chen, Yuanxing Zhang, Huaxiong Li ·

    MultiRef-Compass: Towards Comprehensive Evaluation of Multi-Reference-to-Audio-Video Generation

    arXiv:2607.14189v1 Announce Type: new Abstract: Multi-reference-to-audio-video (MR2AV) generation aims to generate coherent audio-video content conditioned on multiple references and textual instructions. Existing benchmarks mainly focus on text-driven generation, single-referenc…

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