About: Video super-resolution

Property	Value
dbo:abstract	Video Super-Resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution ones. Unlike single image super-resolution (SISR), the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency. There are many approaches for this task, but this problem still remains to be popular and challenging. (en)
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dbo:wikiPageExternalLink	https://data.vision.ee.ethz.ch/cvl/aim20/ https://media.xiph.org/video/derf/ https://seungjunnah.github.io/Datasets/reds.html https://tianchi.aliyun.com/competition/entrance/231711/rankingList/1 https://www.cdvl.org/ https://www.kuaishou.com/activity/icip2019 https://www.youku.com/ https://ieeexplore.ieee.org/document/9150628 https://people.csail.mit.edu/celiu/CVPR2011/default.html http://www.harmonicinc.com/resources/videos/4k-video-clip-center https://videoprocessing.github.io/sr-codec-benchmark https://videoprocessing.github.io/video-super-resolution https://paperswithcode.com/dataset/vimeo90k-1 https://data.vision.ee.ethz.ch/cvl/aim19/ https://data.vision.ee.ethz.ch/cvl/ntire19/ https://arxiv.org/abs/1812.02898 https://arxiv.org/abs/2003.04716 https://arxiv.org/abs/2008.05765v2 https://arxiv.org/abs/2105.01237 https://arxiv.org/abs/2107.10833 https://arxiv.org/abs/2108.10257 https://doi.org/10.1109/ACCESS.2020.3025780 https://doi.org/10.1109/CVPR.2018.00340 https://doi.org/10.1109/CVPRW50498.2020.00241 https://github.com/BIOINSu/LGFN https://github.com/JiahuiYu/wdsr_ntire2018 https://github.com/JingyunLiang/SwinIR https://github.com/YapengTian/TDAN-VSR-CVPR-2020 https://github.com/alterzero/RBPN-PyTorch https://github.com/cscss/DBVSR https://github.com/esw0116/DynaVSR https://github.com/google-research/google-research/tree/master/comisr https://github.com/hobincar/RecNet https://github.com/jiangsutx/SPMC_VideoSR https://github.com/jixiaozhong/RealSR https://github.com/junpan19/RRN https://github.com/nihui/realsr-ncnn-vulkan https://github.com/psychopa4/PFNL https://github.com/ultravideo/UVG-4K-Dataset/blob/master/README.md https://github.com/xinntao/EDVR https://github.com/xinntao/Real-ESRGAN https://github.com/yhjo09/VSR-DUF http://arxiv.org/abs/2011.04482 http://www.wisdom.weizmann.ac.il/~vision/SingleVideoSR.html
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dbo:wikiPageWikiLink	dbr:MOVIE_Index dbr:Algorithm dbr:Homography dbr:Visual_Information_Fidelity dbr:Visual_system dbr:Deep_learning dbr:Peak_signal-to-noise_ratio dbc:Film_and_video_technology dbr:Convolution dbr:Maximum_likelihood_estimation dbr:Medical_imaging dbr:Generative_adversarial_network dbr:Optical_character_recognition dbr:Scene_statistics dbr:Generative_model dbr:Moscow_State_University dbr:Conference_on_Computer_Vision_and_Pattern_Recognition dbr:Convolutional_neural_network dbr:Second-generation_wavelet_transform dbr:Arithmetic_mean dbr:Singular_value_decomposition dbr:Structural_similarity dbr:Computer_monitor dbr:Demosaicing dbr:Kernel_regression dbr:Projections_onto_convex_sets dbr:Surveillance dbr:Total_least_squares dbr:AdaBoost dbc:Signal_processing dbr:Aggregate_function dbr:Data_set dbr:Display_resolution dbr:Least_mean_squares_filter dbr:Least_squares dbr:Optical_flow dbc:Image_processing dbr:Facial_recognition_system dbr:Fourier_transform dbr:Noise_reduction dbr:Oversampling dbr:Discrete_wavelet_transform dbr:Discriminative_model dbr:Flicker_(screen) dbr:Forensic_science dbr:Kalman_filter dbr:Video_codec dbr:Recurrent_neural_network dbr:Recursive_least_squares_filter dbr:Remote_sensing dbr:Research dbr:High-dynamic-range_video dbr:Attention_(machine_learning) dbr:Object_detection dbr:Astronomy dbr:Bicubic_interpolation dbr:Bit_rate dbr:High-definition_video dbr:Television dbr:Tikhonov_regularization dbr:Weight_function dbr:Burst_mode_(photography) dbr:Pixel dbr:Frequency_domain dbr:Image_sensor_format dbr:Kuaishou dbr:Method_of_steepest_descent dbr:Microscopy dbr:Motion_blur dbr:Long_short-term_memory dbr:Markov_random_field dbr:Maximum_a_posteriori_estimation dbr:Mean_opinion_score dbr:Mean_squared_error dbr:Median_filter dbr:Similarity_measure dbr:Ultra-high-definition_television dbr:Wavelet_transform dbr:Weighted_least_squares dbr:Super-resolution_imaging dbr:European_Conference_on_Computer_Vision dbr:Image_fusion dbr:Image_resolution dbr:Ghosting_(television) dbr:Phase_congruency dbr:Subjective_video_quality dbr:Motion_compensation dbr:Motion_estimation dbr:Video_Multimethod_Assessment_Fusion dbr:Non-local_means dbr:Residual_neural_network dbr:High_definition_video dbr:File:Camera_rotation.gif dbr:File:PSNR_visualisation.gif dbr:File:SISR_and_VSR_comparison.gif
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dcterms:subject	dbc:Film_and_video_technology dbc:Signal_processing dbc:Image_processing
rdfs:comment	Video Super-Resolution (VSR) is the process of generating high-resolution video frames from the given low-resolution ones. Unlike single image super-resolution (SISR), the main goal is not only to restore more fine details while saving coarse ones, but also to preserve motion consistency. There are many approaches for this task, but this problem still remains to be popular and challenging. (en)
rdfs:label	Video super-resolution (en)
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