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cs.CV2026
Representing 3D Faces with Learnable B-Spline Volumes
Prashanth Chandran, Daoye Wang, Timo Bolkart
We present CUBE (Control-based Unified B-spline Encoding), a new geometric representation for human faces that combines B-spline volumes with learned features, and demonstrate its…
cs.CV2025
Joint Learning of Depth and Appearance for Portrait Image Animation
Xinya Ji, Gaspard Zoss, Prashanth Chandran +4
2D portrait animation has experienced significant advancements in recent years. Much research has utilized the prior knowledge embedded in large generative diffusion models to enha…
cs.CV2024
Monocular Facial Appearance Capture in the Wild
Yingyan Xu, Kate Gadola, Prashanth Chandran +4
We present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. Our method recovers the su…