Study and Try Pix2Pix (cGAN Loss, L1 Loss, Unet, Patch GAN, PSNR) with KITTI dataset for Denoising and Super-Resolution
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Updated
Jun 19, 2023 - Jupyter Notebook
Study and Try Pix2Pix (cGAN Loss, L1 Loss, Unet, Patch GAN, PSNR) with KITTI dataset for Denoising and Super-Resolution
Study and Try Cycle GAN (GAN Loss, Cycle-consistancy Loss, Identity Loss) with sunflower2daisy dataset
Le but de ce projet est de former un réseau antagoniste génératif pour générer des images à partir d'une description textuelle
Both image and video capable ESRGAN model
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