Gihyun Kwon

According to our database, Gihyun Kwon authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Patch-Wise Graph Contrastive Learning for Image Translation.

Chanyong Jung, Gihyun Kwon, Jong Chul Ye

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

One-Shot Adaptation of GAN in Just One CLIP.

Gihyun Kwon, Jong Chul Ye

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing.

Hyelin Nam, Gihyun Kwon, Geon Yeong Park, Jong Chul Ye

CoRR, 2023

ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF.

Jangho Park, Gihyun Kwon, Jong Chul Ye

CoRR, 2023

Improving Diffusion-based Image Translation using Asymmetric Gradient Guidance.

Gihyun Kwon, Jong Chul Ye

CoRR, 2023

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge.

Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye

CoRR, 2023

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models.

Hyeonho Jeong, Gihyun Kwon, Jong Chul Ye

CoRR, 2023

Diffusion-based Image Translation using disentangled style and content representation.

Gihyun Kwon, Jong Chul Ye

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

CLIPstyler: Image Style Transfer with a Single Text Condition.

Gihyun Kwon, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks.

Chanyong Jung, Gihyun Kwon, Jong Chul Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation.

Gihyun Kwon, Jong Chul Ye

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019

Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks.

Gihyun Kwon, Chihye Han, Daeshik Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Representation of white- and black-box adversarial examples in deep neural networks and humans: A functional magnetic resonance imaging study.

Chihye Han, Wonjun Yoon, Gihyun Kwon, Daeshik Kim, Seungkyu Nam

Proceedings of the International Joint Conference on Neural Networks, 2019

Progressive Face Super-Resolution via Attention to Facial Landmark.

Deokyun Kim, Minseon Kim, Gihyun Kwon, Daeshik Kim

Proceedings of the 30th British Machine Vision Conference 2019, 2019