DLLM-VSR applies diffusion LLMs to VSR via masked denoising, two-stage training, and length-guided candidate decoding to reach 19.5% WER on LRS3.
Bowen Shi, Wei-Ning Hsu, Kushal Lakhotia, and Ab- delrahman Mohamed
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Diffusion Large Language Models for Visual Speech Recognition
DLLM-VSR applies diffusion LLMs to VSR via masked denoising, two-stage training, and length-guided candidate decoding to reach 19.5% WER on LRS3.