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New EchoFoley task enables fine-grained video sound generation

Researchers have introduced EchoFoley, a new task and benchmark for generating sound effects in videos with fine-grained control. The system addresses limitations in existing video-to-audio models, such as visual dominance and weak instruction following. EchoFoley-6k, a dataset of over 6,000 video-instruction-annotation triplets, supports this task. The proposed EchoVidia framework, utilizing a slow-fast thinking strategy, reportedly surpasses current models in controllability and perceptual quality. AI

IMPACT This research could lead to more sophisticated and controllable audio generation for video content, improving storytelling and user experience.

RANK_REASON This is a research paper detailing a new task, dataset, and framework for video-grounded sound generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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

New EchoFoley task enables fine-grained video sound generation

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Bingxuan Li, Yiming Cui, Yicheng He, Yiwei Wang, Shu Zhang, Longyin Wen, Yulei Niu ·

    EchoFoley: Event-Centric Hierarchical Control for Video Grounded Creative Sound Generation

    arXiv:2512.24731v2 Announce Type: replace Abstract: Sound effects build an essential layer of multimodal storytelling, shaping the emotional atmosphere and the narrative semantics of videos. Despite recent advancement in video-text-to-audio (VT2A), the current formulation faces t…