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STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing.

, , , , , , and . CVPR, page 3673-3682. Computer Vision Foundation / IEEE, (2019)

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Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution., , , , , and . CoRR, (2023)NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results., , , , , , , , , and 94 other author(s). CVPR Workshops, page 2211-2223. Computer Vision Foundation / IEEE, (2019)CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement., , , , , , , and . CVPR, page 2964-2974. IEEE, (2024)STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing., , , , , , and . CVPR, page 3673-3682. Computer Vision Foundation / IEEE, (2019)NTIRE 2024 Challenge on Blind Enhancement of Compressed Image: Methods and Results., , , , , , , , , and 45 other author(s). CVPR Workshops, page 6524-6535. IEEE, (2024)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)NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results., , , , , , , , , and 117 other author(s). CVPR Workshops, page 1346-1372. IEEE, (2023)NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results., , , , , , , , , and 53 other author(s). CVPR Workshops, page 2045-2057. Computer Vision Foundation / IEEE, (2020)Adapting Image Super-Resolution State-Of-The-Arts and Learning Multi-Model Ensemble for Video Super-Resolution., , , , and . CVPR Workshops, page 2033-2040. Computer Vision Foundation / IEEE, (2019)OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal., , , , , , , and . ECCV (22), volume 15080 of Lecture Notes in Computer Science, page 38-56. Springer, (2024)