publications

  1. Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, and Seon Joo Kim In Proceedings of the European Conference on Computer Vision (ECCV) 2020 [arXiv] [Project Page]
  2. Learning the Loss Functions in a Discriminative Space for Video Restoration Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, and Seon Joo Kim arXiv preprint arXiv:2003.09124 2020 [arXiv]
  3. Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction Yunji Kim, Seonghyeon Nam, In Cho, and Seon Joo Kim In Advances in Neural Information Processing Systems (NeurIPS) 2019 [arXiv] [Github] [Media]
  4. End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, and Seon Joo Kim In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019 [PDF] [Supp]
  5. Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language Seonghyeon Nam, Yunji Kim, and Seon Joo Kim In Advances in Neural Information Processing Systems (NeurIPS) 2018
    [Spotlight (168/4856, acceptance rate 3.5%)]
    [PDF] [Supp] [Github]
  6. Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network Seonghyeon Nam, and Seon Joo Kim In Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2017 [PDF] [Supp]
  7. Deep Semantics-Aware Photo Adjustment Seonghyeon Nam, and Seon Joo Kim arXiv preprint arXiv:1706.08260 2017 [arXiv]
  8. A Holistic Approach to Cross-Channel Image Noise Modeling and its Application to Image Denoising Seonghyeon Nam, Youngbae Hwang, Yasuyuki Matsushita, and Seon Joo Kim In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
    [Spotlight (acceptance rate 9.7%)]
    [Project Page] [PDF] [Supp]