Hierarchical Codec Diffusion for Video-to-Speech Generation
Video-to-Speech (VTS) generation aims to synthesize speech from a silent video without auditory signals. However, existing VTS methods disregard the hierarchical nature of speech, which spans coarse speaker-aware semantics to fine-grained prosodic details. This oversight hinders direct alignment between visual and speech features at specific hierarchical levels during property matching. In this paper, leveraging the hierarchical structure of Residual Vector Quantization (RVQ)-based codec, we propose HiCoDiT, a novel Hierarchical Codec Diffusion Transformer that exploits the inherent hierarchy of discrete speech tokens to achieve strong audio-visual alignment. Specifically, since lower-lev...
| Authors | Jiaxin Ye, Gaoxiang Cong, Chenhui Wang et al. |
|---|---|
| Primary category | cs.SD |
| Published | 17 April 2026 |
| Last updated at source | 17 April 2026 |
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