3 papers
cs.CV2023
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution
Qingguo Liu, Pan Gao, Kang Han +2
Compared to CNN-based methods, Transformer-based methods achieve impressive image restoration outcomes due to their abilities to model remote dependencies. However, how to apply Tr…
cs.CV2023
StylePrompter: All Styles Need Is Attention
Chenyi Zhuang, Pan Gao, Aljosa Smolic
GAN inversion aims at inverting given images into corresponding latent codes for Generative Adversarial Networks (GANs), especially StyleGAN where exists a disentangled latent spac…
cs.CV2023
Blind Image Quality Assessment via Transformer Predicted Error Map and Perceptual Quality Token
Jinsong Shi, Pan Gao, Aljosa Smolic
Image quality assessment is a fundamental problem in the field of image processing, and due to the lack of reference images in most practical scenarios, no-reference image quality…