70 citations · 74 across the 7 of their papers we have counts for
7 papers
3D-aware Blending with Generative NeRFs
Hyunsu Kim, Gayoung Lee, Yunjey Choi +2
Image blending aims to combine multiple images seamlessly. It remains challenging for existing 2D-based methods, especially when input images are misaligned due to differences in 3…
Generator Knows What Discriminator Should Learn in Unconditional GANs
Gayoung Lee, Hyunsu Kim, Junho Kim +3
Recent methods for conditional image generation benefit from dense supervision such as segmentation label maps to achieve high-fidelity. However, it is rarely explored to employ de…
Memory Efficient Patch-based Training for INR-based GANs
Namwoo Lee, Hyunsu Kim, Gayoung Lee +2
Recent studies have shown remarkable progress in GANs based on implicit neural representation (INR) - an MLP that produces an RGB value given its (x, y) coordinate. They represent…
RewriteNet: Reliable Scene Text Editing with Implicit Decomposition of Text Contents and Styles
Junyeop Lee, Yoonsik Kim, Seonghyeon Kim +4
Scene text editing (STE), which converts a text in a scene image into the desired text while preserving an original style, is a challenging task due to a complex intervention betwe…
Few-shot Compositional Font Generation with Dual Memory
Junbum Cha, Sanghyuk Chun, Gayoung Lee +3
Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich scripts. Despite the remarkable success of existing font generation methods, they have…
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Nako Sung, Minkyu Kim, Hyunwoo Jo +8
Machine learning libraries such as TensorFlow and PyTorch simplify model implementation. However, researchers are still required to perform a non-trivial amount of manual tasks suc…
Deep Saliency with Encoded Low level Distance Map and High Level Features
Gayoung Lee, Yu-Wing Tai, Junmo Kim
Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene. These advances have demonstrated superior resu…