superresolution
Upscale low-resolution images using sub-pixel convolutions (ESPCN)
Idle
Epoch 0/100 • Batch 0-
loss
-
MSE Loss
-
Hyperparameters
0.0010
100
About this example
Uses the ESPCN (Efficient Sub-Pixel Convolutional Network) architecture with Conv2d layers and PixelShuffle for learnable upscaling. The network learns to reconstruct high-frequency details from low-resolution input. PSNR (Peak Signal-to-Noise Ratio) measures reconstruction quality in decibels.
Logs
No output yet...