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AVC-Reward: Event-Centric Audio-Video Consistency Evaluation

Paper recorded by Signals 4 on 2026-10-15 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.AI · 人工智能 · first seen 2026-10-16

Abstract

As joint audio-video generation models become more capable, they can generate audio-visual scenes exhibiting three forms of complexity: multi-event composition, multi-layer audio mixture, and asymmetric cross-modal relations. However, current evaluations largely reuse metrics from earlier simple and unidirectional tasks. They typically evaluate an audio-video clip as a whole and rely on simple pre

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#297 most recent of 960 cs.AI papers we have recorded · ↑ newer: Learning Self-Orchestration in Decentralized Agent Swarms · ↓ older: A team of Gemini 4 Argon agents beats Minecraft
Cite this page: AVC-Reward: Event-Centric Audio-Video Consistency Evaluation: the #297 most recent of 960 cs.AI papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/avc-reward-event-centric-audio-video-consistency-evaluation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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