4 citations · 16 across the 9 of their papers we have counts for
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cs.CV2025
Structure-preserving Feature Alignment for Old Photo Colorization
Yingxue Pang, Xin Jin, Jun Fu +1
Deep learning techniques have made significant advancements in reference-based colorization by training on large-scale datasets. However, directly applying these methods to the tas…
cs.CV2023★ 3 cited
Scale Guided Hypernetwork for Blind Super-Resolution Image Quality Assessment
Jun Fu
With the emergence of image super-resolution (SR) algorithm, how to blindly evaluate the quality of super-resolution images has become an urgent task. However, existing blind SR im…
cs.CV2021★ 1 cited
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective
Xin Li, Xin Jin, Jun Fu +3
Collecting amounts of distorted/clean image pairs in the real world is non-trivial, which seriously limits the practical applications of these supervised learning-based methods on…