We propose a learning-based method to recover normals, specularity, and roughness from a
single diffuse image of a material, using microgeometry appearance as our primary cue …

We present the first large-scale database of measured spatially-varying anisotropic
reflectance, consisting of 1,000 high-quality near-planar SVBRDFs, spanning 9 material …

Existing devices for measuring material appearance in spatially-varying samples are limited
to a single scale, either micro or mesoscopic. This is a practical limitation when the material …

Surface-based cloth appearance models have been rapidly advancing, shifting from detail-
less BRDFs to modern per-point shading models with accurate spatially-varying reflection …

Capturing materials from the real world avoids laborious manual material authoring.
However, recovering high-fidelity Spatially Varying Bidirectional Reflectance Distribution …

Realistic cloth rendering is a longstanding challenge in computer graphics due to the
intricate geometry and hierarchical structure of cloth: Fibers form plies which in turn are …

Textures of woven fabrics are usually designed and produced according to geometric laws
in the 2D plane. Physically Based Rendering (PBR) can further optimize and enrich the …

We propose a surface-based cloth shading model that generates realistic cloth appearance
with ply-level details. It generalizes previous surface-based models to a broader set of cloth …

Digitizing woven fabrics would be valuable for many applications, from digital humans to
interior design. Previous work introduces a lightweight woven fabric acquisition approach by …

We investigate the capabilities of neural inverse procedural modeling to infer high-quality
procedural yarn models with fiber-level details from single images of depicted yarn samples …