Image Emotion

Image emotion research focuses on understanding and manipulating the emotional impact of images, aiming to both predict human emotional responses to visual stimuli and generate images that evoke specific emotions. Current research utilizes diffusion models and generative adversarial networks (GANs), often incorporating large-scale datasets with rich annotations of emotion attributes, to achieve this. This field is significant for applications ranging from treating psychological disorders and improving product design to enhancing rumor detection systems and advancing human-computer interaction.