Muhammad Hamza Mughal — accepted AI-conference papers

2024

ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis

Muhammad Hamza Mughal, Rishabh Dabral, Ikhsanul Habibie, Lucia Donatelli, Marc Habermann, Christian Theobalt

CVPR 2024poster

Gestures play a key role in human communication. Recent methods for co-speech gesture generation while managing to generate beat-aligned motions struggle generating gestures that are semantically aligned with the utterance. Compared to beat gestures that align naturally to the audio signal semantica…

Cited by 12 Source ↗PDF ↗Scholar ↗

2023

Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis

Rishabh Dabral, Muhammad Hamza Mughal, Vladislav Golyanik, Christian Theobalt

CVPR 2023highlight

Conventional methods for human motion synthesis have either been deterministic or have had to struggle with the trade-off between motion diversity vs motion quality. In response to these limitations, we introduce MoFusion, i.e., a new denoising-diffusion-based framework for high-quality conditional…

Cited by 187 Source ↗PDF ↗Scholar ↗