| Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network N Ahn, B Kang, KA Sohn ECCV, 2018 | 1271 | 2018 |
| NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results A Lugmayr, M Danelljan, R Timofte, N Ahn, D Bai, J Cai, Y Cao, J Chen, ... CVPRW, 2020 | 178 | 2020 |
| Rethinking Data Augmentation for Image Super-Resolution: A Comprehensive Analysis and a New Strategy J Yoo*, N Ahn*, KA Sohn CVPR, 2020 | 158 | 2020 |
| Image Super-Resolution via Progressive Cascading Residual Network N Ahn, B Kang, KA Sohn CVPRW, 2018 | 68 | 2018 |
| Efficient Deep Neural Network for Photo-Realistic Image Super-Resolution N Ahn, B Kang, KA Sohn Pattern Recognition, 2022 | 34* | 2022 |
| SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-Resolution N Ahn*, J Yoo*, KA Sohn CVPRW, 2020 | 17 | 2020 |
| Image Distortion Detection Using Convolutional Neural Network N Ahn, B Kang, KA Sohn ACPR, 2017 | 14 | 2017 |
| WebtoonMe: A Data-Centric Approach for Full-Body Portrait Stylization J Back, S Kim, N Ahn SIGGRAPH Asia Technical Communications, 2022 | 9 | 2022 |
| What is Wrong with One-Class Anomaly Detection? JK Park, JH Moon, N Ahn, KA Sohn ICLRW, 2021 | 8 | 2021 |
| DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models N Ahn, J Lee, C Lee, K Kim, D Kim, SH Nam, K Hong AAAI, 2024 | 7 | 2024 |
| Cross-Domain Style Mixing for Face Cartoonization S Kim, C Gwak, D Kim, K Lee, J Back, N Ahn, D Kim CVPRW, 2022 | 7 | 2022 |
| Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network S Kim*, N Ahn*, KA Sohn ACCV, 2020 | 7 | 2020 |
| AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks K Hong, S Jeon, J Lee, N Ahn, K Kim, P Lee, D Kim, Y Uh, H Byun ICCV, 2023 | 6 | 2023 |
| DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models S Kim, J Lee, K Hong, D Kim, N Ahn arXiv preprint arXiv:2305.15194, 2023 | 6 | 2023 |
| Exploiting Distortion Information for Multi-Degraded Image Restoration W Shin, N Ahn, JH Moon, KA Sohn CVPRW, 2022 | 3 | 2022 |
| Magnitude Attention-based Dynamic Pruning J Back, N Ahn, J Kim arXiv preprint arXiv:2306.05056, 2023 | 2 | 2023 |
| Interactive Cartoonization with Controllable Perceptual Factors N Ahn, P Kwon, J Back, K Hong, S Kim CVPR, 2023 | 1 | 2023 |
| Method and apparatus for transforming input image based on target style and target color information AHN Namhyuk, SK Kim, B Jihye, YJ Kwon US Patent App. 18/471,434, 2024 | | 2024 |
| Imperceptible Protection Against Style Imitation from Diffusion Models N Ahn, W Ahn, KY Yoo, D Kim, SH Nam arXiv preprint arXiv:2403.19254, 2024 | | 2024 |
| Decomposing Texture and Semantic for Out-of-Distribution Detection JH Moon*, N Ahn*, KA Sohn Expert Systems with Applications, 2024 | | 2024 |
Kyung-Ah SohnProfessor, Ajou Universityajou.ac.kr의 이메일 확인됨
