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Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform., , , and . CVPR, page 606-615. IEEE Computer Society, (2018)ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks., , , , , , , and . ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 63-79. Springer, (2018)Deep Network Interpolation for Continuous Imagery Effect Transition., , , , and . CoRR, (2018)Path-Restore: Learning Network Path Selection for Image Restoration., , , , and . CoRR, (2019)EDVR: Video Restoration With Enhanced Deformable Convolutional Networks., , , , and . CVPR Workshops, page 0. Computer Vision Foundation / IEEE, (2019)NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results., , , , , , , , , and 67 other author(s). CVPR Workshops, page 1110-1121. IEEE Computer Society, (2017)Study of effervescent jet breakup under gas expansion disturbance., , , , , , and . J. Visualization, 21 (6): 935-948 (2018)Deep Network Interpolation for Continuous Imagery Effect Transition., , , , and . CVPR, page 1692-1701. Computer Vision Foundation / IEEE, (2019)NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results., , , , , , , , , and 50 other author(s). CVPR Workshops, page 1985-1995. Computer Vision Foundation / IEEE, (2019)ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks., , , , , , , , and . CoRR, (2018)