19 citations · 30 across the 10 of their papers we have counts for
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cs.CV2024
Temporally Aligned Audio for Video with Autoregression
Ilpo Viertola, Vladimir Iashin, Esa Rahtu
We introduce V-AURA, the first autoregressive model to achieve high temporal alignment and relevance in video-to-audio generation. V-AURA uses a high-framerate visual feature extra…
cs.CV2024★ 1 cited
Synchformer: Efficient Synchronization from Sparse Cues
Vladimir Iashin, Weidi Xie, Esa Rahtu +1
Our objective is audio-visual synchronization with a focus on 'in-the-wild' videos, such as those on YouTube, where synchronization cues can be sparse. Our contributions include a…