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Searching for Controllable Image Restoration Networks., , , , and . ICCV, page 14214-14223. IEEE, (2021)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)Meta-Learning with Adaptive Hyperparameters., , , , and . NeurIPS, (2020)Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 27188-27203. PMLR, (2023)Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning., , , , , and . ICCV, page 9445-9454. IEEE, (2021)Semantic-Aware Dynamic Parameter for Video Inpainting Transformer., , , , and . ICCV, page 12903-12912. IEEE, (2023)DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks., , , , and . WACV, page 913-922. IEEE, (2022)Learning to Remember Past to Predict Future for Visual Tracking., , and . ICIP, page 3068-3072. IEEE, (2019)CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting., , , and . IEEE Signal Process. Lett., (2024)MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields., , , and . CoRR, (2022)