3 citations · 6 across the 6 of their papers we have counts for
6 papers · 1 filter
Style-Guided Inference of Transformer for High-resolution Image Synthesis
Jonghwa Yim, Minjae Kim
Transformer is eminently suitable for auto-regressive image synthesis which predicts discrete value from the past values recursively to make up full image. Especially, combined wit…
StyLandGAN: A StyleGAN based Landscape Image Synthesis using Depth-map
Gunhee Lee, Jonghwa Yim, Chanran Kim +1
Despite recent success in conditional image synthesis, prevalent input conditions such as semantics and edges are not clear enough to express `Linear (Ridges)' and `Planar (Scale)'…
Filter Style Transfer between Photos
Jonghwa Yim, Jisung Yoo, Won-joon Do +2
Over the past few years, image-to-image style transfer has risen to the frontiers of neural image processing. While conventional methods were successful in various tasks such as co…
One-Shot Item Search with Multimodal Data
Jonghwa Yim, Junghun James Kim, Daekyu Shin
In the task of near similar image search, features from Deep Neural Network is often used to compare images and measure similarity. In the past, we only focused visual search in im…
Investigating the feature collection for semantic segmentation via single skip connection
Jonghwa Yim, Kyung-Ah Sohn
Since the study of deep convolutional neural network became prevalent, one of the important discoveries is that a feature map from a convolutional network can be extracted before g…
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets
Jonghwa Yim, Kyung-Ah Sohn
Despite the appeal of deep neural networks that largely replace the traditional handmade filters, they still suffer from isolated cases that cannot be properly handled only by the…