3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2024
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion
Chunyang Bi, Xin Luo, Sheng Shen +3
Diffusion models, known for their powerful generative capabilities, play a crucial role in addressing real-world super-resolution challenges. However, these models often focus on i…
cs.CV2023★ 3 cited
On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement
Xin Luo, Yunan Zhu, Shunxin Xu +1
Several recent studies advocate the use of spectral discriminators, which evaluate the Fourier spectra of images for generative modeling. However, the effectiveness of the spectral…
eess.IV2023★ 2 cited
Physics-Informed Ensemble Representation for Light-Field Image Super-Resolution
Manchang Jin, Gaosheng Liu, Kunshu Hu +3
Recent learning-based approaches have achieved significant progress in light field (LF) image super-resolution (SR) by exploring convolution-based or transformer-based network stru…