Low Resource Image Super Resolution

• Proposed pre-upsampling techniques to achieve 32.99 PSNR and 0.9051 SSIM with minimal training
• Implemented and compared 6 unique techniques for image super resolution under constrained training budgets
• Achieved 1.5× performance over baseline GANs using pre-upsampled UNet architectures