Publications

• Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son, and Kyoung Mu Lee, ``ICF-SRSR: Invertible scale-Conditional Function for Self-Supervised Real-world Single Image Super-Resolution,’’ Proc. Winter Conference on Applications of Computer Vision (WACV), 2024.  

• Joonkyu Park, Sanghyun Son, and Kyoung Mu Lee, ``Content-Aware Local GAN for Photo-Realistic Super-Resolution,’’ Proc. International Conference on Computer Vision (ICCV), 2023.  

• Wooseok Lee, Sanghyun Son, and Kyoung Mu Lee, “AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network,” Proc. Computer Vision and Pattern Recognition (CVPR), 2022.  

• Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son, and Kyoung Mu Lee, “CVF-SID: Cyclic Multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image,” Proc. Computer Vision and Pattern Recognition (CVPR), 2022.  

• Seungjun Nah, Sanghyun Son, Jaerin Lee, and Kyoung Mu Lee, “Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring,” Proc. International Conference on Learning Representations (ICLR), 2022.  

• Geonwoon Jang, Wooseok Lee, Sanghyun Son, and Kyoung Mu Lee, “C2N: Practical Generative Noise Modeling for Real-World Denoising,” Proc. International Conference on Computer Vision (ICCV), 2021.  

• Sanghyun Son and Kyoung Mu Lee, “SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation,” Proc. Computer Vision and Pattern Recognition (CVPR), 2021. [PDF] [Supplementary material] [Poster] [Video] [code]  

• Sanghyun Son, Jaeha Kim, Wei-Sheng Lai, Ming-Hsuan Yang, and Kyoung Mu Lee, “Toward Real-World Super-Resolution via Adaptive Downsampling Models,” IEEE Trans. on Patter Recognition and Machine Intelligence (TPAMI), vol. 44, no. 11, pp. 8567-8670, 2022. https://doi.org/10.1109/TPAMI.2021.3106790 [PDF] [Supplementary material][Project page][code]  

• Sanghyun Son and Kyoung Mu Lee, “Image Super-Resolution,” in Ikeuchi K. (eds) Computer Vision. Springer, Cham, 2021. https://doi.org/10.1007/978-3-030-03243-2_838-1  

• Seungjun Nah, Sanghyun Son, and Kyoung Mu Lee, “Recurrent Neural Networks with Intra-Frame Iterations for Video Deblurring,” Proc. Computer Vision and Pattern Recognition (CVPR), 2019. [PDF]  

• Sanghyun Son, Seungjun Nah, and Kyoung Mu Lee, “Clustering Convolutional Kernels to Compress Deep Neural Networks,” Proc. European Conference on Computer Vision (ECCV), 2018. [PDF] [Poster] [code]  

• Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee, “Enhanced Deep Residual Networks for Single Image Super-Resolution,” NTIRE 2017 workshop in conjunction with CVPR, 2017. (Challenge Winners, Workshop Best Paper) [PDF] [code (Torch7)] [code (PyTorch)]

Challenge Reports and Dataset

• Sanghyun Son, Suyoung Lee, Seungjun Nah, Radu Timofte, and Kyoung Mu Lee, “NTIRE 2021 Challenge on Video Super-Resolution,” NTIRE 2021 workshop in conjunction with CVPR, 2021. [arXiv]  

• Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, and Kyoung Mu Lee, “NTIRE 2021 Challenge on Image Deblurring,” NTIRE 2021 workshop in conjunction with CVPR, 2021. [arXiv]  

• Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, and Kyoung Mu Lee, “AIM 2020 Challenge on Video Temporal Super-Resolution,” AIM 2020 workshop in conjunction with ICCV, 2020. [arXiv]  

• Seungjun Nah, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee, “NTIRE 2020 Challenge on Image and Video Deblurring,” NTIRE 2020 workshop in conjunction with CVPR, 2020. [arXiv]  

• Seungjun Nah, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee, “AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results,” AIM 2019 workshop in conjunction with ICCV, 2019. [arXiv]  

• Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, and Kyoung Mu Lee, “NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study,” NTIRE 2019 workshop in conjunction with CVPR, 2019. [PDF]  

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