Lin Ding

SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning

Perceptual image compression has recently gained increasing attention, as it aims to reconstruct visually realistic images using generative models. Most existing methods adopt patch-based generative adversarial networks (PatchGAN) for one-step image generation, where adversarial training helps the d