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cs.CV2024
V2SFlow: Video-to-Speech Generation with Speech Decomposition and Rectified Flow
Jeongsoo Choi, Ji-Hoon Kim, Jinyu Li +2
In this paper, we introduce V2SFlow, a novel Video-to-Speech (V2S) framework designed to generate natural and intelligible speech directly from silent talking face videos. While re…
cs.CV2024★ 1 cited
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
Zongyi Li, Shujie Hu, Shujie Liu +7
Text-to-video models have recently undergone rapid and substantial advancements. Nevertheless, due to limitations in data and computational resources, achieving efficient generatio…
cs.CV2022★ 57 cited
Two-Stream Network for Sign Language Recognition and Translation
Yutong Chen, Ronglai Zuo, Fangyun Wei +3
Sign languages are visual languages using manual articulations and non-manual elements to convey information. For sign language recognition and translation, the majority of existin…