1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
CTSR: Controllable Fidelity-Realness Trade-off Distillation for Real-World Image Super Resolution
Runyi Li, Bin Chen, Jian Zhang +1
Real-world image super-resolution is a critical image processing task, where two key evaluation criteria are the fidelity to the original image and the visual realness of the gener…
cs.CV2024
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model
Runyi Li, Xuhan Sheng, Weiqi Li +1
Omnidirectional images (ODIs) are commonly used in real-world visual tasks, and high-resolution ODIs help improve the performance of related visual tasks. Most existing super-resol…
eess.IV2023★ 1 cited
Diffusion Denoising for Low-Dose-CT Model
Runyi Li
Low-dose Computed Tomography (LDCT) reconstruction is an important task in medical image analysis. Recent years have seen many deep learning based methods, proved to be effective i…