metadata
license: mit
pipeline_tag: image-to-image
library_name: pytorch
tags:
- Pix2Pix
Pix2Pix SAR To RGB
yuulind/pix2pix-sar2rgb
- This is a Pix2Pix CGAN implementation for translating Synthetic Aperture Radar (SAR) images to Optical (RGB) images.
- For more information on code, please check GitHub Repo
- The demo: yuulind/sar2rgb
- Includes checkpoints from epoch: 180, 265, 295
- Example outputs
Model Details
Model Description
This is custom implementation of pix2pix architecture in PyTorch. The code can found in GitHub Repo
The official lua implementaion: GitHub Repo The official PyTorch implementation GitHub Repo
- Model type: Image to Image Translation
- BASELINE FID SCORE is between 30 and 40
- Baseline score is calculated by randomly sampling two sets from real images and comparing the them.
| Number | Name | Model Type | Description | Link to Model File |
|---|---|---|---|---|
| 1 | pix2pix_gen_180.pth | Generator | Pix2Pix generator with transpose convolution, 180 epochs. FID score is 185.04 | pix2pix_gen_180.pth |
| 2 | pix2pix_gen_265.pth | Generator | Pix2Pix generator with transpose convolution, 265 epochs. FID score is 189.81 | pix2pix_gen_265.pth |
| 3 | pix2pix_gen_295.pth | Generator | Pix2Pix generator with transpose convolution, 295 epochs. FID score is 187.73 | pix2pix_gen_295.pth |
| 4 | pix2pix_disc_180.pth | Discriminator | Pix2Pix discriminator from epoch 180, with transpose convolution generator. | pix2pix_disc_180.pth |
| 5 | pix2pix_disc_265.pth | Discriminator | Pix2Pix discriminator from epoch 265, with transpose convolution generator. | pix2pix_disc_265.pth |
| 6 | pix2pix_disc_295.pth | Discriminator | Pix2Pix discriminator from epoch 295, with transpose convolution generator. | pix2pix_disc_295.pth |
Loss Graphs
- Discriminator vs Epoch
- Generator Overall Loss vs Epoch
- Generator GAN Loss vs Epoch
- Generator L1 Loss vs Epoch
Model Sources
- Repository: GitHub Repo
- Paper: arxiv:1611.07004
- Official implementation: GitHub Repo
Uses
Converts SAR images to Optical (RGB) images