activity
20232026
most citedGroomCap: High-Fidelity Prior-Free Hair Capture

23 citations · 37 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

GNM Head: A Generative aNthropometric Model of the human head

Stylianos Ploumpis, Jan Bednarik, Gaspard Zoss +29

Parametric models of the human head are essential tools traditionally used in computer vision and graphics for animation, rendering, and reconstruction. More recently, they serve a…

cs.CV2026

Topologically Consistent Multi-view 3D Head Reconstruction via Coarse-Guided Layered Surface Sampling

Timo Bolkart, Daoye Wang, Prashanth Chandran

We present SHELLS (Semantic Head Estimation via Layered Local Sampling), an efficient feed-forward framework for 3D head reconstruction in dense semantic correspondence from multi-…

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.GR2025

Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation

Victoria Yue Chen, Daoye Wang, Stephan Garbin +4

Face registration deforms a template mesh to closely fit a 3D face scan, the quality of which commonly degrades in non-skin regions (e.g., hair, beard, accessories), because the op…

cs.CV2024

Learning to Stabilize Faces

Jan Bednarik, Erroll Wood, Vasileios Choutas +4

Nowadays, it is possible to scan faces and automatically register them with high quality. However, the resulting face meshes often need further processing: we need to stabilize the…

cs.CV2024★ 14 cited

Cafca: High-quality Novel View Synthesis of Expressive Faces from Casual Few-shot Captures

Marcel C. Bühler, Gengyan Li, Erroll Wood +13

Volumetric modeling and neural radiance field representations have revolutionized 3D face capture and photorealistic novel view synthesis. However, these methods often require hund…

cs.GR2024★ 23 cited

GroomCap: High-Fidelity Prior-Free Hair Capture

Yuxiao Zhou, Menglei Chai, Daoye Wang +5

Despite recent advances in multi-view hair reconstruction, achieving strand-level precision remains a significant challenge due to inherent limitations in existing capture pipeline…

cs.CV2023

Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis

Marcel C. Bühler, Kripasindhu Sarkar, Tanmay Shah +8

NeRFs have enabled highly realistic synthesis of human faces including complex appearance and reflectance effects of hair and skin. These methods typically require a large number o…