10 citations · 21 across the 5 of their papers we have counts for
6 papers
LSR: A Light-Weight Super-Resolution Method
Wei Wang, Xuejing Lei, Yueru Chen +2
A light-weight super-resolution (LSR) method from a single image targeting mobile applications is proposed in this work. LSR predicts the residual image between the interpolated lo…
GENHOP: An Image Generation Method Based on Successive Subspace Learning
Xuejing Lei, Wei Wang, C. -C. Jay Kuo
Being different from deep-learning-based (DL-based) image generation methods, a new image generative model built upon successive subspace learning principle is proposed and named G…
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
Xuejing Lei, Ganning Zhao, Kaitai Zhang +1
An explainable, efficient and lightweight method for texture generation, called TGHop (an acronym of Texture Generation PixelHop), is proposed in this work. Although synthesis of v…
Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations
Kaitai Zhang, Bin Wang, Hong-Shuo Chen +3
The main challenge of dynamic texture synthesis lies in how to maintain spatial and temporal consistency in synthesized videos. The major drawback of existing dynamic texture synth…
Noise-Aware Texture-Preserving Low-Light Enhancement
Zohreh Azizi, Xuejing Lei, C. -C Jay Kuo
A simple and effective low-light image enhancement method based on a noise-aware texture-preserving retinex model is proposed in this work. The new method, called NATLE, attempts t…
NITES: A Non-Parametric Interpretable Texture Synthesis Method
Xuejing Lei, Ganning Zhao, C. -C. Jay Kuo
A non-parametric interpretable texture synthesis method, called the NITES method, is proposed in this work. Although automatic synthesis of visually pleasant texture can be achieve…