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Mitigating Artifacts in Real-World Video Super-Resolution Models., , , , , and . CoRR, (2022)AIM 2020 Challenge on Video Temporal Super-Resolution., , , , , , , , , and 8 other author(s). ECCV Workshops (4), volume 12538 of Lecture Notes in Computer Science, page 23-40. Springer, (2020)VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder., , , , , , and . ECCV (18), volume 13678 of Lecture Notes in Computer Science, page 126-143. Springer, (2022)NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results., , , , , , , , , and 68 other author(s). CVPR Workshops, page 1220-1237. IEEE, (2022)Mitigating Artifacts in Real-World Video Super-resolution Models., , , , , and . AAAI, page 2956-2964. AAAI Press, (2023)VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution., , , , and . CVPR Workshops, page 656-665. IEEE, (2022)Rethinking Alignment in Video Super-Resolution Transformers., , , , , and . NeurIPS, (2022)Image Conductor: Precision Control for Interactive Video Synthesis., , , , , , , and . CoRR, (2024)Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data., , , and . ICCVW, page 1905-1914. IEEE, (2021)T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models., , , , , , and . AAAI, page 4296-4304. AAAI Press, (2024)