Material Transforms from Disentangled NeRF Representations
| dc.contributor.author | Lopes, Ivan | en_US |
| dc.contributor.author | Lalonde, Jean-François | en_US |
| dc.contributor.author | Charette, Raoul de | en_US |
| dc.contributor.editor | Bousseau, Adrien | en_US |
| dc.contributor.editor | Day, Angela | en_US |
| dc.date.accessioned | 2025-05-09T09:09:07Z | |
| dc.date.available | 2025-05-09T09:09:07Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | In this paper, we first propose a novel method for transferring material transformations across different scenes. Building on disentangled Neural Radiance Field (NeRF) representations, our approach learns to map Bidirectional Reflectance Distribution Functions (BRDF) from pairs of scenes observed in varying conditions, such as dry and wet. The learned transformations can then be applied to unseen scenes with similar materials, therefore effectively rendering the transformation learned with an arbitrary level of intensity. Extensive experiments on synthetic scenes and real-world objects validate the effectiveness of our approach, showing that it can learn various transformations such as wetness, painting, coating, etc. Our results highlight not only the versatility of our method but also its potential for practical applications in computer graphics. We publish our method implementation, along with our synthetic/real datasets on https://github.com/astra-vision/BRDFTransform | en_US |
| dc.description.number | 2 | |
| dc.description.sectionheaders | Shady Business: Materials, Textures, and Lighting | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 44 | |
| dc.identifier.doi | 10.1111/cgf.70008 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 12 pages | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.70008 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.1111/cgf70008 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Computing methodologies → Reflectance modeling; Image-based rendering; Scene understanding | |
| dc.subject | Computing methodologies → Reflectance modeling | |
| dc.subject | Image | |
| dc.subject | based rendering | |
| dc.subject | Scene understanding | |
| dc.title | Material Transforms from Disentangled NeRF Representations | en_US |