Apparel's significant role in human appearance underscores the importance of garment
digitalization for digital human creation. Recent advances in 3D content creation are pivotal …

We introduce a new hair modeling method that uses a dual representation of classical hair
strands and 3D Gaussians to produce accurate and realistic strand-based reconstructions …

In the film and gaming industries achieving a realistic hair appearance typically involves the
use of strands originating from the scalp. However reconstructing these strands from …

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

We present a method for prediction of a person's hairstyle from a single image. Despite
growing use cases in user digitization and enrollment for virtual experiences, available …

Single-view 3D hair reconstruction is challenging, due to the wide range of shape variations
among diverse hairstyles. Current state-of-the-art methods are specialized in recovering un …

We present geometric methods for generating shapes that are characteristic of highly coiled
hair. Different features become visually relevant when hairs are well-approximated by high …

Abstract We introduce Spline-based Transformers, a novel class of Transformer models that
eliminate the need for positional encoding. Inspired by workflows using splines in computer …

While haircut indicates distinct personality, existing avatar generation methods fail to model
practical hair due to the general or entangled representation. We propose StrandHead, a …

Equipping stylized conversational characters with facial animations tailored to specific
emotions enhances coherence and authenticity. Many data-driven speech animation …