5 citations · 6 across the 3 of their papers we have counts for
4 papers · 1 filter
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Xinmiao Lin, Yikang Li, Jenhao Hsiao +2
The popular VQ-VAE models reconstruct images through learning a discrete codebook but suffer from a significant issue in the rapid quality degradation of image reconstruction as th…
Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator
Yuxin Kong, Canjie Luo, Weihong Ma +4
Automatic font generation remains a challenging research issue due to the large amounts of characters with complicated structures. Typically, only a few samples can serve as the st…
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images
Zhichao Fu, Yu Kong, Yingbin Zheng +4
The accuracy of OCR is usually affected by the quality of the input document image and different kinds of marred document images hamper the OCR results. Among these scenarios, the…
Edge-Aware Deep Image Deblurring
Zhichao Fu, Tianlong Ma, Yingbin Zheng +3
Image deblurring is a fundamental and challenging low-level vision problem. Previous vision research indicates that edge structure in natural scenes is one of the most important fa…