244 citations · 1.5k across the 70 of their papers we have counts for
5 papers · 2 filters
SparseVSR: Lightweight and Noise Robust Visual Speech Recognition
Adriana Fernandez-Lopez, Honglie Chen, Pingchuan Ma +3
Recent advances in deep neural networks have achieved unprecedented success in visual speech recognition. However, there remains substantial disparity between current methods and t…
Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models
Antoni Bigata Casademunt, Rodrigo Mira, Nikita Drobyshev +3
Speech-driven animation has gained significant traction in recent years, with current methods achieving near-photorealistic results. However, the field remains underexplored regard…
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
Xubo Liu, Egor Lakomkin, Konstantinos Vougioukas +9
Recently reported state-of-the-art results in visual speech recognition (VSR) often rely on increasingly large amounts of video data, while the publicly available transcribed video…
Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
Pingchuan Ma, Alexandros Haliassos, Adriana Fernandez-Lopez +3
Audio-visual speech recognition has received a lot of attention due to its robustness against acoustic noise. Recently, the performance of automatic, visual, and audio-visual speec…
Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
Michał Stypułkowski, Konstantinos Vougioukas, Sen He +3
Talking face generation has historically struggled to produce head movements and natural facial expressions without guidance from additional reference videos. Recent developments i…