HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation

ArXi:2605.09971v1 Announce Type: cross Text-to-vibration generation converts natural language into haptic feedback, enabling vibration-effect designers to get scenarios-fitted vibrations efficiently, which shows great potentials in application fields such as metaverse, games, and film to enrich the user experience in interactive scenarios. The core challenge in this field is how to generate accurate, consistent, and complete vibrations according to textual semantics.