4 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
Enhancing Low-resolution Image Representation Through Normalizing Flows
Chenglong Bao, Tongyao Pang, Zuowei Shen +2
Low-resolution image representation can be regarded as a special form of sparse representation that retains only low-frequency information while discarding high-frequency component…
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
Dihan Zheng, Yihang Zou, Xiaowen Zhang +1
The data bottleneck has emerged as a fundamental challenge in learning based image restoration methods. Researchers have attempted to generate synthesized training data using paire…
Unsupervised Deep Learning Meets Chan-Vese Model
Dihan Zheng, Chenglong Bao, Zuoqiang Shi +2
The Chan-Vese (CV) model is a classic region-based method in image segmentation. However, its piecewise constant assumption does not always hold for practical applications. Many im…