Scattered-domain fitting on Scattered-domain blobs sampling 256x256, N=8,192 (test)
23.11PSNRgriddata interp.
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| griddata interp.Type=Input reference2026.07 | 23.11 | 25.84 | |
| Sobolev (est. grad)Backbone=PE-MLP, Loss=MSE + Sobolev, Gradient=Estimated2026.07 | 23.02 | 25.75 | |
| FFL (interp.)Backbone=PE-MLP, Loss=MSE + FFL2026.07 | 22.73 | 25.46 | |
| Kac-Rice (est. grad)Backbone=PE-MLP, Loss=MSE + Kac-Rice, Gradient=Estimated2026.07 | 22.53 | 25.36 | |
| SIREN + FFL (interp.)Backbone=SIREN, Loss=MSE + FFL2026.07 | 21.92 | 25.38 | |
| griddata interp.Type=Input reference2026.07 | 21.84 | 25.27 | |
| Sobolev (oracle grad)Backbone=PE-MLP, Loss=MSE + Sobolev, Gradient=Oracle2026.07 | 21.8 | 25.36 | |
| FFL (interp.)Backbone=PE-MLP, Loss=MSE + FFL2026.07 | 21.62 | 25.01 | |
| Sobolev (est. grad)Backbone=PE-MLP, Loss=MSE + Sobolev, Gradient=Estimated2026.07 | 21.59 | 25.07 | |
| SIREN + Kac-RiceBackbone=SIREN, Loss=MSE + Kac-Rice2026.07 | 21.59 | 25.14 | |
| SIREN + Sobolev (est. grad)Backbone=SIREN, Loss=MSE + Sobolev, Gradient=Estimated2026.07 | 21.5 | 25.06 | |
| Kac-Rice (est. grad)Backbone=PE-MLP, Loss=MSE + Kac-Rice, Gradient=Estimated2026.07 | 21.14 | 24.71 | |
| Kac-Rice (oracle grad)Backbone=PE-MLP, Loss=MSE + Kac-Rice, Gradient=Oracle2026.07 | 20.86 | 24.5 | |
| MSE onlyBackbone=PE-MLP2026.07 | 20.18 | 23.19 | |
| SIREN (MSE)Backbone=SIREN, Loss=MSE2026.07 | 20.1 | 23.97 | |
| MSE onlyBackbone=PE-MLP2026.07 | 18.88 | 22.76 |