Modeling animatable human avatars from RGB videos is a long-standing and challenging
problem. Recent works usually adopt MLP-based neural radiance fields (NeRF) to represent …

Despite recent progress in developing animatable full-body avatars, realistic modeling of
clothing-one of the core aspects of human self-expression-remains an open challenge. State …

Creating pose-driven human avatars is about modeling the mapping from the low-frequency
driving pose to high-frequency dynamic human appearances, so an effective pose encoding …

Virtual try-on tasks aim at synthesizing realistic try-on results by trying target clothes on
humans. Most previous works relied on the Thin Plate Spline or appearance flows to warp …

The realism of digital avatars is crucial in enabling telepresence applications with self-
expression and customization. While physical simulations can produce realistic motions for …

We address the problem of aligning real-world 3D data of garments, which benefits many
applications such as texture learning, physical parameter estimation, generative modeling of …

Clothing is an important part of human appearance but challenging to model in
photorealistic avatars. In this work we present avatars with dynamically moving loose …

Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet
important for dynamic appearance modeling and physics parameter estimation from real …

We present DiffXPBD, a novel and efficient analytical formulation for the differentiable
position-based simulation of compliant constrained dynamics (XPBD). Our proposed method …

This paper proposes a generalizable model to synthesize high-fidelity clothing wrinkle
deformation in 3D by learning from real data. Given the complex deformation behaviors of …