Image Synthesis on NANO-TEM synthetic samples n=6656
0.587MS-SSIMMS-SSIM VAE
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| MS-SSIM VAEStat=med.2026.06 | 0.587 | 0.407 | 18.45 | 0.014 | 0.409 | — | — | |
| VAEStat=med.2026.06 | 0.587 | 0.407 | 18.45 | 0.0143 | 0.409 | — | — | |
| MS-SSIM VAEStat=mean2026.06 | 0.579 | 0.397 | 18.63 | 0.015 | 0.417 | 170.96 | 0.147 | |
| VAEStat=mean2026.06 | 0.579 | 0.397 | 18.63 | 0.0151 | 0.417 | — | — | |
| DCGANStat=mean2026.06 | 0.508 | 0.276 | 18.15 | 0.018 | 0.295 | 144.67 | 0.093 | |
| DCGANStat=mean2026.06 | 0.508 | 0.276 | 18.15 | 0.0177 | 0.295 | — | — | |
| patch-based progressive training methodology for DDPMsStat=mean2026.06 | 0.481 | 0.27 | 16.99 | 0.022 | 0.277 | 47.32 | 0.034 | |
| OursStat=mean2026.06 | 0.481 | 0.27 | 16.99 | 0.0218 | 0.277 | — | — | |
| DCGANStat=med.2026.06 | 0.472 | 0.268 | 18.67 | 0.014 | 0.305 | — | — | |
| DCGANStat=med.2026.06 | 0.472 | 0.268 | 18.67 | 0.0136 | 0.305 | — | — | |
| patch-based progressive training methodology for DDPMsStat=med.2026.06 | 0.414 | 0.211 | 16.89 | 0.021 | 0.266 | — | — | |
| OursStat=med.2026.06 | 0.414 | 0.211 | 16.89 | 0.0205 | 0.266 | — | — | |
| Baseline DDPMStat=mean2026.06 | 0.412 | 0.199 | 16.34 | 0.025 | 0.229 | 68.52 | 0.067 | |
| BaseStat=mean2026.06 | 0.412 | 0.199 | 16.34 | 0.0248 | 0.229 | — | — | |
| Baseline DDPMStat=med.2026.06 | 0.377 | 0.169 | 16.42 | 0.023 | 0.217 | — | — | |
| BaseStat=med.2026.06 | 0.377 | 0.169 | 16.42 | 0.0228 | 0.217 | — | — | |
| Base2026.06 | — | — | — | — | — | 68.52 | 0.067 | |
| DCGAN2026.06 | — | — | — | — | — | 144.67 | 0.093 | |
| Ours2026.06 | — | — | — | — | — | 47.32 | 0.034 | |
| VAE2026.06 | — | — | — | — | — | 170.96 | 0.147 |