Deep saliency with encoded low level distance map and high level features G Lee, YW Tai, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 561 | 2016 |
Few-shot compositional font generation with dual memory J Cha, S Chun, G Lee, B Lee, S Kim, H Lee Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 100 | 2020 |
Nsml: A machine learning platform that enables you to focus on your models N Sung, M Kim, H Jo, Y Yang, J Kim, L Lausen, Y Kim, G Lee, D Kwak, ... arXiv preprint arXiv:1712.05902, 2017 | 86 | 2017 |
ELD-net: An efficient deep learning architecture for accurate saliency detection G Lee, YW Tai, J Kim IEEE transactions on pattern analysis and machine intelligence 40 (7), 1599-1610, 2017 | 51 | 2017 |
Fine-tuning diffusion models with limited data T Moon, M Choi, G Lee, JW Ha, J Lee NeurIPS 2022 Workshop on Score-Based Methods, 2022 | 35 | 2022 |
Generator knows what discriminator should learn in unconditional gans G Lee, H Kim, J Kim, S Kim, JW Ha, Y Choi European Conference on Computer Vision, 406-422, 2022 | 18 | 2022 |
Visual style prompting with swapping self-attention J Jeong, J Kim, Y Choi, G Lee, Y Uh arXiv preprint arXiv:2402.12974, 2024 | 17 | 2024 |
Early exiting for accelerated inference in diffusion models T Moon, M Choi, EG Yun, J Yoon, G Lee, J Lee ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 14 | 2023 |
Rewritenet: Reliable scene text editing with implicit decomposition of text contents and styles J Lee, Y Kim, S Kim, M Yim, S Shin, G Lee, S Park arXiv preprint arXiv:2107.11041, 2021 | 11 | 2021 |
3d-aware blending with generative nerfs H Kim, G Lee, Y Choi, JH Kim, JY Zhu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
Rewritenet: Realistic scene text image generation via editing text in real-world image J Lee, Y Kim, S Kim, M Yim, S Shin, G Lee, S Park arXiv preprint arXiv:2107.11041 1, 21, 2021 | 10 | 2021 |
Direct unlearning optimization for robust and safe text-to-image models YH Park, S Yun, JH Kim, J Kim, G Jang, Y Jeong, J Jo, G Lee arXiv preprint arXiv:2407.21035, 2024 | 9 | 2024 |
Unpaired sketch-to-line translation via synthesis of sketches G Lee, D Kim, Y Yoo, D Han, JW Ha, J Chang SIGGRAPH Asia 2019 technical briefs, 45-48, 2019 | 6 | 2019 |
Diffusion models with grouped latents for interpretable latent space S Lee, G Lee, H Kim, J Kim, Y Uh ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | 5 | 2023 |
Toward high-quality few-shot font generation with dual memory J Cha, S Chun, G Lee, B Lee, S Kim, H Lee Proc. AI Content Creation Workshop. CVPR Workshop, 2020 | 4 | 2020 |
A simple early exiting framework for accelerated sampling in diffusion models T Moon, M Choi, EG Yun, J Yoon, G Lee, J Cho, J Lee arXiv preprint arXiv:2408.05927, 2024 | 3 | 2024 |
Sequential Data Generation with Groupwise Diffusion Process S Lee, G Lee, H Kim, J Kim, Y Uh arXiv preprint arXiv:2310.01400, 2023 | 2 | 2023 |
Memory efficient patch-based training for inr-based gans N Lee, H Kim, G Lee, S Yoo, Y Choi arXiv preprint arXiv:2207.01395, 2022 | 2 | 2022 |
DECOR: Decomposition and Projection of Text Embeddings for Text-to-Image Customization G Jang, JH Kim, YH Park, J Kim, G Lee, Y Jeong arXiv preprint arXiv:2412.09169, 2024 | | 2024 |
StyleGuide: Crafting visual style prompting with negative visual query guidance J Jeong, J Kim, G Lee, Y Choi, Y Uh | | |