BRDF Reconstruction on MERL held-out (test)
39.514PSNRPCA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| PCAN=1282026.04 | 39.514 | 3.062 | 97.16 | |
| PCAN=642026.04 | 38.665 | 3.302 | 97.2 | |
| PCAN=322026.04 | 37.724 | 3.768 | 97.07 | |
| learned sampling strategyN=1282026.04 | 36.26 | — | 94.99 | |
| learned sampling strategyN=642026.04 | 36.25 | — | 94.9 | |
| learned sampling strategyN=322026.04 | 35.86 | — | 94.7 | |
| learned sampling strategyN=82026.04 | 35.62 | — | 94.87 | |
| learned sampling strategyN=162026.04 | 35.36 | — | 95.08 | |
| PCAN=82026.04 | 33.843 | 6.146 | 97 | |
| HyperBRDFN=1282026.04 | 33.477 | 5.557 | 97 | |
| HyperBRDFN=642026.04 | 33.263 | 5.668 | 97.18 | |
| PCAN=162026.04 | 32.801 | 6.516 | 97 | |
| Meta-learningN=642026.04 | 31.226 | 7.6 | 96.8 | |
| HyperBRDFN=322026.04 | 30.028 | 9.053 | 95.7 | |
| Meta-learningN=1282026.04 | 29.145 | 9.589 | 96.5 | |
| HyperBRDFN=82026.04 | 29.127 | 10.326 | 96.2 | |
| Meta-learningN=322026.04 | 29.102 | 9.969 | 96.3 | |
| HyperBRDFN=162026.04 | 28.969 | 10.28 | 92.2 | |
| Meta-learningN=162026.04 | 27.915 | 12.49 | 94.8 | |
| Meta-learningN=82026.04 | 25.803 | 14.65 | 94.97 |