58 citations · 79 across the 5 of their papers we have counts for
5 papers
Referenceless User Controllable Semantic Image Synthesis
Jonghyun Kim, Gen Li, Joongkyu Kim
Despite recent progress in semantic image synthesis, complete control over image style remains a challenging problem. Existing methods require reference images to feed style inform…
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
Gen Li, Jie Ji, Minghai Qin +5
As deep convolutional neural networks (DNNs) are widely used in various fields of computer vision, leveraging the overfitting ability of the DNN to achieve video resolution upscali…
Real Image Restoration via Structure-preserving Complementarity Attention
Yuanfan Zhang, Gen Li, Lei Sun
Since convolutional neural networks perform well in learning generalizable image priors from large-scale data, these models have been widely used in image denoising tasks. However,…
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
Gen Li, Varun Jampani, Laura Sevilla-Lara +3
Prototype learning is extensively used for few-shot segmentation. Typically, a single prototype is obtained from the support feature by averaging the global object information. How…
Edge and Identity Preserving Network for Face Super-Resolution
Jonghyun Kim, Gen Li, Inyong Yun +2
Face super-resolution (SR) has become an indispensable function in security solutions such as video surveillance and identification system, but the distortion in facial components…