Results for Patchmatch-RL test
Submission data
Full name | patchmatch-RL |
Description | they incorporate normal estimation by using dilated patch kernels, and propose a recurrent cost regularization that applies beyond frontal plane-sweep algorithms to our pixelwise depth/normal estimates. |
Parameters | No explanation provided |
Programming language(s) | python |
Hardware | RTX3090 |
Submission creation date | 16 Nov, 2023 |
Last edited | 17 Nov, 2023 |
High-res multi-view results
Info | all | high-res multi-view | indoor | outdoor | botani. | boulde. | bridge | door | exhibi. | lectur. | living. | lounge | observ. | old co. | statue | terrac. |
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87.38 | 86.24 | 90.81 | 88.74 | 78.40 | 88.12 | 93.17 | 87.11 | 82.17 | 89.29 | 81.95 | 95.60 | 88.64 | 77.02 | 98.41 |
Low-res many-view results
Info | all | low-res many-view | indoor | outdoor | lakeside | sand box | storage room | storage room 2 | tunnel |
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No results yet. |