no code implementations • 13 Sep 2023 • Namhyuk Ahn, Junsoo Lee, Chunggi Lee, Kunhee Kim, Daesik Kim, Seung-Hun Nam, Kibeom Hong
Recent progresses in large-scale text-to-image models have yielded remarkable accomplishments, finding various applications in art domain.
1 code implementation • ICCV 2023 • Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim, Pilhyeon Lee, Daesik Kim, Youngjung Uh, Hyeran Byun
To deliver the artistic expression of the target style, recent studies exploit the attention mechanism owing to its ability to map the local patches of the style image to the corresponding patches of the content image.
2 code implementations • 20 Sep 2022 • Taehun Kim, Kunhee Kim, Joonyeong Lee, Dongmin Cha, Jiho Lee, Daijin Kim
Salient object detection (SOD) has been in the spotlight recently, yet has been studied less for high-resolution (HR) images.
Ranked #1 on RGB Salient Object Detection on ECSSD
1 code implementation • CVPR 2022 • Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim
Current image-to-image translations do not control the output domain beyond the classes used during training, nor do they interpolate between different domains well, leading to implausible results.
Image Manipulation Multimodal Unsupervised Image-To-Image Translation +1
1 code implementation • 30 Dec 2021 • Seongyeop Yang, Kunhee Kim, Yeejin Lee
In this paper, we propose a dense depth estimation pipeline for multiview 360{\deg} images.
no code implementations • 2 Sep 2021 • Eunyeong Jeon, Kunhee Kim, Daijin Kim
Secondly, we introduce a feature-aware loss to provide the generator more direct supervision by employing the feature representation from the self-supervised discriminator.
no code implementations • 25 Aug 2021 • Sanghun Park, Kunhee Kim, Eunseop Lee, Daijin Kim
Object detection has been applied in a wide variety of real world scenarios, so detection algorithms must provide confidence in the results to ensure that appropriate decisions can be made based on their results.