Browsing by Author "Ritschel, Tobias"
Now showing items 1-14 of 14
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Blue Noise Plots
Onzenoodt, Christian van; Singh, Gurprit; Ropinski, Timo; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2021)We propose Blue Noise Plots, two-dimensional dot plots that depict data points of univariate data sets. While often onedimensional strip plots are used to depict such data, one of their main problems is visual clutter which ... -
Deep-learning the Latent Space of Light Transport
Hermosilla, Pedro; Maisch, Sebastian; Ritschel, Tobias; Ropinski, Timo (The Eurographics Association and John Wiley & Sons Ltd., 2019)We suggest a method to directly deep-learn light transport, i. e., the mapping from a 3D geometry-illumination-material configuration to a shaded 2D image. While many previous learning methods have employed 2D convolutional ... -
Distortion-Free Displacement Mapping
Zirr, Tobias; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)Displacement mapping is routinely used to add geometric details in a fast and easy-to-control way, both in offline rendering as well as recently in interactive applications such as games. However, it went largely unnoticed ... -
EUROGRAPHICS 2018: Tutorials Frontmatter
Ritschel, Tobias; Telea, Alexandru (Eurographics Association, 2018) -
EUROGRAPHICS 2020: Posters Frontmatter
Ritschel, Tobias; Eilertsen, Gabriel (Eurographics Association, 2020) -
High Performance Graphics 2021 CGF 40-8: Frontmatter
Binder, Nikolaus; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2021) -
High-Performance Graphics 2021 – Symposium Papers: Frontmatter
Binder, Nikolaus; Ritschel, Tobias (Eurographics Association, 2021) -
Learning to Learn and Sample BRDFs
Liu, Chen; Fischer, Michael; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2023)We propose a method to accelerate the joint process of physically acquiring and learning neural Bi-directional Reflectance Distribution Function (BRDF) models. While BRDF learning alone can be accelerated by meta-learning, ... -
Learning to Predict Image-based Rendering Artifacts with Respect to a Hidden Reference Image
Bemana, Mojtaba; Keinert, Joachim; Myszkowski, Karol; Bätz, Michel; Ziegler, Matthias; Seidel, Hans-Peter; Ritschel, Tobias (The Eurographics Association and John Wiley & Sons Ltd., 2019)Image metrics predict the perceived per-pixel difference between a reference image and its degraded (e. g., re-rendered) version. In several important applications, the reference image is not available and image metrics ... -
Neural BRDF Representation and Importance Sampling
Sztrajman, Alejandro; Rainer, Gilles; Ritschel, Tobias; Weyrich, Tim (© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltd, 2021)Controlled capture of real‐world material appearance yields tabulated sets of highly realistic reflectance data. In practice, however, its high memory footprint requires compressing into a representation that can be used ... -
Neural Precomputed Radiance Transfer
Rainer, Gilles; Bousseau, Adrien; Ritschel, Tobias; Drettakis, George (The Eurographics Association and John Wiley & Sons Ltd., 2022)Recent advances in neural rendering indicate immense promise for architectures that learn light transport, allowing efficient rendering of global illumination effects once such methods are trained. The training phase of ... -
OutCast: Outdoor Single-image Relighting with Cast Shadows
Griffiths, David; Ritschel, Tobias; Philip, Julien (The Eurographics Association and John Wiley & Sons Ltd., 2022)We propose a relighting method for outdoor images. Our method mainly focuses on predicting cast shadows in arbitrary novel lighting directions from a single image while also accounting for shading and global effects such ... -
Rendering 2023 CGF 42-4: Frontmatter
Ritschel, Tobias; Weidlich, Andrea (The Eurographics Association and John Wiley & Sons Ltd., 2023) -
Rendering 2023 Symposium Track: Frontmatter
Ritschel, Tobias; Weidlich, Andrea (The Eurographics Association, 2023)