4 papers
MeGA: Hybrid Mesh-Gaussian Head Avatar for High-Fidelity Rendering and Head Editing
Cong Wang, Di Kang, He-Yi Sun +4
Creating high-fidelity head avatars from multi-view videos is a core issue for many AR/VR applications. However, existing methods usually struggle to obtain high-quality renderings…
FaceSleuth-R: Adaptive Orientation-Aware Attention for Robust Micro-Expression Recognition
Linquan Wu, Tianxiang Jiang, Haoyu Yang +5
Micro-expression recognition (MER) has achieved impressive accuracy in controlled laboratory settings. However, its real-world applicability faces a significant generalization clif…
Dyads: Artist-Centric, AI-Generated Dance Duets
Zixuan Wang, Luis Zerkowski, Ilya Vidrin +1
Existing AI-generated dance methods primarily train on motion capture data from solo dance performances, but a critical feature of dance in nearly any genre is the interaction of t…
Invisible Strings: Revealing Latent Dancer-to-Dancer Interactions with Graph Neural Networks
Luis Vitor Zerkowski, Zixuan Wang, Ilya Vidrin +1
Dancing in a duet often requires a heightened attunement to one's partner: their orientation in space, their momentum, and the forces they exert on you. Dance artists who work in p…