3 papers
cs.CV2026
Disentangled Textual Priors for Diffusion-based Image Super-Resolution
Lei Jiang, Xin Liu, Xinze Tong +4
Image Super-Resolution (SR) aims to reconstruct high-resolution images from degraded low-resolution inputs. While diffusion-based SR methods offer powerful generative capabilities,…
cs.CV2025
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
Xin Liu, Jie Liu, Jie Tang +1
Transformer-based methods have demonstrated impressive performance in low-level visual tasks such as Image Super-Resolution (SR). However, its computational complexity grows quadra…
cs.CV2025
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
Yuheng Xu, Shijie Yang, Xin Liu +3
In recent years, the increasing popularity of Hi-DPI screens has driven a rising demand for high-resolution images. However, the limited computational power of edge devices poses a…