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Abstract
We present the first end-to-end approach for real-time material estimation for general object shapes with uniform material that only requires a single color image as input. In addition to Lambertian surface properties, our approach fully automatically computes the specular albedo, material shininess, and a foreground segmentation. We tackle this challenging and ill-posed inverse rendering problem using recent advances in image-to-image translation techniques based on deep convolutional encoder–decoder architectures. The underlying core representations of our approach are specular shading, diffuse shading and mirror images, which allow to learn the effective and accurate separation of diffuse and specular albedo. In addition, we propose a novel highly efficient perceptual rendering loss that mimics real-world image formation and obtains intermediate results even during run time. The estimation of material parameters at real-time frame rates enables exciting mixed-reality applications, such as seamless illumination-consistent integration of virtual objects into real-world scenes, and virtual material cloning. We demonstrate our approach in a live setup, compare it to the state of the art, and demonstrate its effectiveness through quantitative and qualitative evaluation.
Original language | English |
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Title of host publication | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Publisher | IEEE |
Pages | 6315-6324 |
Number of pages | 10 |
ISBN (Electronic) | 9781538664209 |
ISBN (Print) | 9781538664216 |
DOIs | |
Publication status | Published - 17 Dec 2018 |
Event | International Conference on Computer Vision and Pattern Recognition - Salt Lake City, USA United States Duration: 18 Jun 2018 → 22 Jun 2018 http://cvpr2018.thecvf.com/ |
Publication series
Name | Proceedings |
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Publisher | IEEE |
ISSN (Electronic) | 2575-7075 |
Conference
Conference | International Conference on Computer Vision and Pattern Recognition |
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Abbreviated title | CVPR |
Country/Territory | USA United States |
City | Salt Lake City |
Period | 18/06/18 → 22/06/18 |
Internet address |
Fingerprint
Dive into the research topics of 'LIME: Live Intrinsic Material Estimation'. Together they form a unique fingerprint.Projects
- 1 Finished
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D., Bilzon, J., Campbell, N., Cazzola, D., Colyer, S., Fincham Haines, T., Hall, P., Kim, K. I., Lutteroth, C., McGuigan, P., O'Neill, E., Richardt, C., Salo, A., Seminati, E., Tabor, A. & Yang, Y.
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council