Benchmarking GAN Inversion Encoders for High-Fidelity Reconstruction of Ulcerative Colitis Images

Abstract

This study benchmarks colonoscopy image reconstruction. We introduce a Latent Bank method to improve standard encoders, but High-Fidelity GAN Inversion achieves superior quality (FID = 22.12, MS-SSIM > 0.91), proving the best for colonoscopy images.