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 | 545 | 2016 |
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 | 76 | 2017 |
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 | 73 | 2020 |
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 | 52 | 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 | 16 | 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 | 12 | 2022 |
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 | 8 | 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, 2021 | 8 | 2021 |
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 | 5 | 2021 |
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 | 5 | 2019 |
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 | 4 | 2023 |
Toward high-quality few-shot font generation with dual memory J Cha, S Chun, G Lee, B Lee, S Kim, H Lee IEEE Conf. Comput. Vis. Pattern Recog. Worksh 1, 2020 | 4 | 2020 |
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 | 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 |
Visual Style Prompting with Swapping Self-Attention J Jeong, J Kim, Y Choi, G Lee, Y Uh arXiv preprint arXiv:2402.12974, 2024 | 1 | 2024 |
Sequential Data Generation with Groupwise Diffusion Process S Lee, G Lee, H Kim, J Kim, Y Uh arXiv preprint arXiv:2310.01400, 2023 | | 2023 |
3D-aware Blending with Generative NeRFs-Supplementary Material H Kim, G Lee, Y Choi, JH Kim, JY Zhu | | |