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cs.CV2024
SSL: A Self-similarity Loss for Improving Generative Image Super-resolution
Du Chen, Zhengqiang Zhang, Jie Liang +1
Generative adversarial networks (GAN) and generative diffusion models (DM) have been widely used in real-world image super-resolution (Real-ISR) to enhance the image perceptual qua…
cs.CV2024
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge
Jie Liang, Radu Timofte, Qiaosi Yi +6
In this paper, we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild, inclu…
cs.CV2024★ 2 cited
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment
Tianhe Wu, Kede Ma, Jie Liang +2
While Multimodal Large Language Models (MLLMs) have experienced significant advancement in visual understanding and reasoning, their potential to serve as powerful, flexible, inter…