CM-GAN: Realistic Image Inpainting with Global Structure and Texture Detail

CM-GAN: Realistic Image Inpainting with Global Structure and Texture Detail

Machine Heart reports Machine Heart Editorial Team Researchers from the University of Rochester and Adobe Research have proposed a new generative network CM-GAN, which synthesizes overall structure and local details very well, significantly outperforming existing SOTA methods such as CoModGAN and LaMa in both quantitative and qualitative evaluations. Image inpainting refers to the process of … Read more