4 papers
High-Resolution Be Aware! Improving the Self-Supervised Real-World Super-Resolution
Yuehan Zhang, Angela Yao
Self-supervised learning is crucial for super-resolution because ground-truth images are usually unavailable for real-world settings. Existing methods derive self-supervision from…
RealViformer: Investigating Attention for Real-World Video Super-Resolution
Yuehan Zhang, Angela Yao
In real-world video super-resolution (VSR), videos suffer from in-the-wild degradations and artifacts. VSR methods, especially recurrent ones, tend to propagate artifacts over time…
Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
Yuehan Zhang, Seungjun Lee, Angela Yao
Standard single-image super-resolution creates paired training data from high-resolution images through fixed downsampling kernels. However, real-world super-resolution (RWSR) face…
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution
Yuehan Zhang, Bo Ji, Jia Hao +1
In image super-resolution, both pixel-wise accuracy and perceptual fidelity are desirable. However, most deep learning methods only achieve high performance in one aspect due to th…