AI RESEARCH
A Wavelet Diffusion GAN for Image Super-Resolution
arXiv CS.CV
•
ArXi:2410.17966v3 Announce Type: replace-cross In recent years, diffusion models have emerged as a superior alternative to generative adversarial networks (GANs) for high-fidelity image generation, with wide applications in text-to-image generation, image-to-image translation, and super-resolution. However, their real-time feasibility is hindered by slow