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. |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
70.24 | 67.78 | 77.61 | 77.43 | 59.57 | 71.16 | 70.33 | 62.94 | 68.65 | 72.77 | 50.62 | 85.49 | 69.58 | 66.58 | 87.77 |
Low-res many-view results
Info | all | low-res many-view | indoor | outdoor | delivery area | electro | forest | playground | terrains |
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No results yet. |