Lukas Bode
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View article: Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media Open
Efficient scene representations are essential for many computer graphics applications. A general unified representation that can handle both surfaces and volumes simultaneously remains a research challenge. In this work we propose a compac…
View article: A Realistic Multi-scale Surface-based Cloth Appearance Model
A Realistic Multi-scale Surface-based Cloth Appearance Model Open
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, transmission, and so on. However, the increased complexity ha…
View article: Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media
Don't Splat your Gaussians: Volumetric Ray-Traced Primitives for Modeling and Rendering Scattering and Emissive Media Open
Efficient scene representations are essential for many computer graphics applications. A general unified representation that can handle both surfaces and volumes simultaneously, remains a research challenge. Inspired by recent methods for …
View article: Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models
Estimating Cloth Elasticity Parameters From Homogenized Yarn-Level Models Open
Virtual garment simulation has become increasingly important with applications in garment design and virtual try-on. However, reproducing garments faithfully remains a cumbersome process. We propose an end-to-end method for estimating para…
View article: Neural inverse procedural modeling of knitting yarns from images
Neural inverse procedural modeling of knitting yarns from images Open
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. While directly inferring all parameters of the underly…
View article: Neural inverse procedural modeling of knitting yarns from images
Neural inverse procedural modeling of knitting yarns from images Open
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. While directly inferring all parameters of the underly…
View article: BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics
BoundED: Neural Boundary and Edge Detection in 3D Point Clouds via Local Neighborhood Statistics Open
Extracting high-level structural information from 3D point clouds is challenging but essential for tasks like urban planning or autonomous driving requiring an advanced understanding of the scene at hand. Existing approaches are still not …
View article: Locally-guided neural denoising
Locally-guided neural denoising Open
Noise-like artifacts are common in measured or fitted data across various domains, e.g. photography, geometric reconstructions in terms of point clouds or meshes, as well as reflectance measurements and the respective fitting of commonly u…
View article: Capturing Anisotropic SVBRDFs
Capturing Anisotropic SVBRDFs Open
In this work, we adapt and improve recent isotropic material estimation efforts to estimate spatially varying anisotropic materials with an additional Fresnel term using a variable set of input images and are able to handle any resolution.…