Detecting Images Generated by Latent Diffusion Models by Identifying Autoencoder Artifacts

Images generated by Latent Diffusion Models (LDMs) can be effectively detected by identifying artifacts introduced by their autoencoders, eliminating the need for training on synthetic data and reducing computational costs.