A Data-Driven Paradigm for Precomputed Radiance Transfer
| Autor: | Belcour, Laurent, Deliot, Thomas, Barbier, Wilhem, Soler, Cyril |
|---|---|
| Přispěvatelé: | Unity Technologies [San Francisco], École nationale supérieure d'informatique et de mathématiques appliquées (ENSIMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Models and Algorithms for Visualization and Rendering (MAVERICK), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA) |
| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
Computer Science - Graphics ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.7: Three-Dimensional Graphics and Realism ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Graphics and Computer-Aided Design [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] Graphics (cs.GR) Computer Science Applications ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | SIGGRAPH 2022-Conference & Exhibition on Computer Graphics & Interactive Techniques SIGGRAPH 2022-Conference & Exhibition on Computer Graphics & Interactive Techniques, Aug 2022, Vancouver, Canada. pp.1-8 |
| DOI: | 10.48550/arxiv.2206.13112 |
| Popis: | International audience; In this work, we explore a change of paradigm to build Precomputed Radiance Transfer (PRT) methods in a data-driven way. This paradigm shift allows us to alleviate the difficulties of building traditional PRT methods such as defining a reconstruction basis, coding a dedicated path tracer to compute a transfer function, etc. Our objective is to pave the way for Machine Learned methods by providing a simple baseline algorithm. More specifically, we demonstrate real-time rendering of indirect illumination in hair and surfaces from a few measurements of direct lighting. We build our baseline from pairs of direct and indirect illumination renderings using only standard tools such as Singular Value Decomposition (SVD) to extract both the reconstruction basis and transfer function. |
| Databáze: | OpenAIRE |
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