188 citations · 268 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…
SuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder
Jonghyun Kim, Gen Li, Cheolkon Jung +1
Existing methods for image synthesis utilized a style encoder based on stacks of convolutions and pooling layers to generate style codes from input images. However, the encoded vec…
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…
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation
Gen Li, Inyoung Yun, Jonghyun Kim +1
As a pixel-level prediction task, semantic segmentation needs large computational cost with enormous parameters to obtain high performance. Recently, due to the increasing demand f…