Image Reconstruction on Stanford Cars (test)
100PSNR > 35 dB Success RateGaussianImage
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| GaussianImageITER=50002025.03 | 100 | — | — | |
| GaussianImageITER=100002025.03 | 100 | — | — | |
| EigenGSITER=10000, Training Set=Cars2025.03 | 100 | — | — | |
| EigenGSITER=5000, Training Set=Cars2025.03 | 99 | — | — | |
| EigenGSITER=10000, Training Set=ImageNet2025.03 | 99 | — | — | |
| EigenGSITER=5000, Training Set=ImageNet2025.03 | 98 | — | — | |
| EigenGSITER=1000, Training Set=Cars2025.03 | 67 | — | — | |
| EigenGSITER=1000, Training Set=ImageNet2025.03 | 62 | — | — | |
| EigenGSITER=500, Training Set=ImageNet2025.03 | 38 | — | — | |
| EigenGSITER=500, Training Set=Cars2025.03 | 32 | — | — | |
| EigenGSITER=100, Training Set=Cars2025.03 | 11 | — | — | |
| GaussianImageITER=10002025.03 | 10 | — | — | |
| EigenGSITER=100, Training Set=ImageNet2025.03 | 8 | — | — | |
| GaussianImageITER=1002025.03 | 0 | — | — | |
| GaussianImageITER=5002025.03 | 0 | — | — | |
| EigenGSITER=0, Training Set=Cars2025.03 | — | 24.4 | 0.85 | |
| EigenGSITER=0, Training Set=ImageNet2025.03 | — | 23.9 | 0.84 |