Creating high-fidelity 3D head avatars has always been a research hotspot but there
remains a great challenge under lightweight sparse view setups. In this paper we propose …

The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

This paper introduces the Imperial Light-Stage Head (ILSH) dataset, a novel light-stage-
captured human head dataset designed to support view synthesis academic challenges for …

Audio-driven 3D facial animation aims to map input audio to realistic facial motion. Despite
significant progress, limitations arise from inconsistent 3D annotations, restricting previous …

Registering the head and estimating the scalp surface are important for various biomedical
procedures, including those using neuronavigation to localize brain stimulation or recording …

While existing methods for 3D face reconstruction from in-the-wild images excel at
recovering the overall face shape they commonly miss subtle extreme asymmetric or rarely …

When working with 3D facial data improving fidelity and avoiding the uncanny valley effect is
critically dependent on accurate 3D facial performance capture. Because such methods are …

Recent significant advances in high-quality face reconstruction have been made, but
challenges remain in 4D face asset reconstruction. 4D head capture aims to generate …

Deep learning-based multi-view facial capture methods have shown impressive accuracy
while being several orders of magnitude faster than a traditional mesh registration pipeline …

In this paper, we examine three important issues in the practical use of state‐of‐the‐art facial
landmark detectors and show how a combination of specific architectural modifications can …