6 papers
FaceSnap: Real-Time Personalized Lightstage Facial Performance Capture
Rukhshanda Hussain, Noé Artru, Emeline Got +6
Lightstage facial capture produces production-quality digital humans, but it is resource and labor-intensive. Multi-camera setups, hours of computation, and massive data storage cr…
KM-Speaker: Keypoint-Based Style Control for High-Quality Speech-Driven 3D Facial Animation and Dialogue Localization
Arthur Josi, Emeline Got, Abdallah Dib +2
Speech-driven 3D facial animation methods face significant challenges in simultaneously achieving high-fidelity motion and precise artistic control at production quality. Existing…
Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction
Noé Artru, Rukhshanda Hussain, Emeline Got +3
Reconstructing high-fidelity 3D head geometry from images is critical for a wide range of applications, yet existing methods face fundamental limitations. Traditional photogrammetr…
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control
Amin Fadaeinejad, Abdallah Dib, Luiz Gustavo Hafemann +6
Creating realistic 3D head assets for virtual characters that match a precise artistic vision remains labor-intensive. We present a novel framework that streamlines this process by…
SEREP: Semantic Facial Expression Representation for Robust In-the-Wild Capture and Retargeting
Arthur Josi, Luiz Gustavo Hafemann, Abdallah Dib +3
Monocular facial performance capture in-the-wild is challenging due to varied capture conditions, face shapes, and expressions. Most current methods rely on linear 3D Morphable Mod…
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got +4
Reconstructing an avatar from a portrait image has many applications in multimedia, but remains a challenging research problem. Extracting reflectance maps and geometry from one im…