3 papers
cs.CV2026
IQ-LUT: interpolated and quantized LUT for efficient image super-resolution
Yuxuan Zhang, Zhikai Dong, Xinning Chai +4
Lookup table (LUT) methods demonstrate considerable potential in accelerating image super-resolution inference. However, pursuing higher image quality through larger receptive fiel…
cs.CV2025
Distillation-Supervised Convolutional Low-Rank Adaptation for Efficient Image Super-Resolution
Xinning Chai, Yao Zhang, Yuxuan Zhang +4
Convolutional neural networks (CNNs) have been widely used in efficient image super-resolution. However, for CNN-based methods, performance gains often require deeper networks and…
cs.CV2025
Enhanced Semantic Extraction and Guidance for UGC Image Super Resolution
Yiwen Wang, Ying Liang, Yuxuan Zhang +6
Due to the disparity between real-world degradations in user-generated content(UGC) images and synthetic degradations, traditional super-resolution methods struggle to generalize e…