Name
Abstract | ||
|---|---|---|
We present a novel example-based material appearance modeling method for digital content creation. The proposed method requires a single HDR photograph of an exemplar object made of a desired material under known environmental illumination. While conventional methods for appearance modeling require the object shape to be known, our method does not require prior knowledge of the shape of the exemplar, nor does it require recovering the shape, which improves robustness as well as simplify on-site appearance acquisition by non-expert users.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3230744.3230805 | SIGGRAPH Posters |
Field | DocType | ISBN |
Computer vision,Digitization,Computer graphics (images),Computer science,Robustness (computer science),Artificial intelligence,Appearance modeling,Digital content | Conference | 978-1-4503-5817-0 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiming Lin | 1 | 6 | 4.58 |
| Pieter Peers | 2 | 1109 | 55.34 |
| Abhijeet Ghosh | 3 | 772 | 58.87 |