2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2021
A self-adapting super-resolution structures framework for automatic design of GAN
Yibo Guo, Haidi Wang, Yiming Fan +2
With the development of deep learning, the single super-resolution image reconstruction network models are becoming more and more complex. Small changes in hyperparameters of the m…
eess.IV2021★ 2 cited
Super-Resolution Image Reconstruction Based on Self-Calibrated Convolutional GAN
Yibo Guo, Haidi Wang, Yiming Fan +2
With the effective application of deep learning in computer vision, breakthroughs have been made in the research of super-resolution images reconstruction. However, many researches…
cs.CL2019★ 2 cited
Pun-GAN: Generative Adversarial Network for Pun Generation
Fuli Luo, Shunyao Li, Pengcheng Yang +4
In this paper, we focus on the task of generating a pun sentence given a pair of word senses. A major challenge for pun generation is the lack of large-scale pun corpus to guide th…