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Video frame interpolation (VFI) aims to synthesize an intermediate frame between two consecutive frames.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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UCF101: A dataset of 101 human actions classes from videos in the wild
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah · 2012
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2015
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Deepstereo: Learning to predict new views from the world’s imagery
John Flynn, Ivan Neulander, James Philbin, and Noah Snavely · 2016
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Dynamic filter networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc V Gool · 2016
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A benchmark dataset and evaluation methodology for video object segmentation
Federico Perazzi, Jordi Pont-Tuset, Brian McWilliams, Luc Van Gool, Markus Gross, and Alexander Sorkine-Hornung · 2016
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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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Residual conv-deconv grid network for semantic segmentation
Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Trémeau, and Christian Wolf · 2017
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Deep laplacian pyramid networks for fast and accurate super-resolution
Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, and Ming-Hsuan Yang · 2017
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Video frame synthesis using deep voxel flow
Ziwei Liu, Raymond A Yeh, Xiaoou Tang, Yiming Liu, and Aseem Agarwala · 2017
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Video frame synthesis using deep voxel flow
Ziwei Liu, Raymond A Yeh, Xiaoou Tang, Yiming Liu, and Aseem Agarwala · 2017
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Video frame interpolation via adaptive convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
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Video frame interpolation via adaptive separable convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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High-order model and dynamic filtering for frame rate up-conversion
Wenbo Bao, Xiaoyun Zhang, Li Chen, Lianghui Ding, and Zhiyong Gao · 2018
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Super slomo: High quality estimation of multiple intermediate frames for video interpolation
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, and Jan Kautz · 2018
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UnFlow: Unsupervised learning of optical flow with a bidirectional census loss
Simon Meister, Junhwa Hur, and Stefan Roth · 2018
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Context-aware synthesis for video frame interpolation
Simon Niklaus and Feng Liu · 2018
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PWC-Net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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Video compression through image interpolation
Chao-Yuan Wu, Nayan Singhal, and Philipp Krahenbuhl · 2018
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DF-Net: Unsupervised joint learning of depth and flow using cross-task consistency
An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
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FeatureFlow: Robust video interpolation via structure-to-texture generation
Shurui Gui, Chaoyue Wang, Qihua Chen, and Dacheng Tao · 2020
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AdaCoF: Adaptive collaboration of flows for video frame interpolation
Hyeongmin Lee, Taeoh Kim, Tae-young Chung, Daehyun Pak, Yuseok Ban, and Sangyoun Lee · 2020
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Softmax splatting for video frame interpolation
Simon Niklaus and Feng Liu · 2020
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BMBC: Bilateral motion estimation with bilateral cost volume for video interpolation
Junheum Park, Keunsoo Ko, Chul Lee, and Chang-Su Kim · 2020
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Yuliang Zou, Zelun Luo, and Jia-Bin Huang · 2018
Cited alongside, same era.
Depth-aware video frame interpolation
Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang · 2019
Cited alongside, same era.
MEMC-Net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement
Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang · 2019
Cited alongside, same era.
Deep video frame interpolation using cyclic frame generation
Yu-Lun Liu, Yi-Tung Liao, Yen-Yu Lin, and Yung-Yu Chuang · 2019
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Quadratic video interpolation
Xiangyu Xu, Li Siyao, Wenxiu Sun, Qian Yin, and Ming-Hsuan Yang · 2019
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Video enhancement with task-oriented flow
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T Freeman · 2019
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Enhanced motion-compensated video coding with deep virtual reference frame generation
Lei Zhao, Shiqi Wang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, and Wen Gao · 2019
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Video frame interpolation and enhancement via pyramid recurrent framework
Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, and Zhiyong Gao · 2020
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Learning texture transformer network for image super-resolution
Fuzhi Yang, Huan Yang, Jianlong Fu, Hongtao Lu, and Baining Guo · 2020
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Learning joint spatial-temporal transformations for video inpainting
Yanhong Zeng, Jianlong Fu, and Hongyang Chao · 2020
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Video super-resolution transformer
Jiezhang Cao, Yawei Li, Kai Zhang, and Luc Van Gool · 2021
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Multiple video frame interpolation via enhanced deformable separable convolution
Xianhang Cheng and Zhenzhong Chen · 2021
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Swin Transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, and et al · 2021
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Asymmetric bilateral motion estimation for video frame interpolation
Junheum Park, Chul Lee, and Chang-Su Kim · 2021
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Keeping your eye on the ball: Trajectory attention in video transformers
Mandela Patrick, Dylan Campbell, Yuki Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, and João F Henriques · 2021
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Video frame interpolation transformer
Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, and Ming-Hsuan Yang · 2021
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Learning trajectory-aware transformer for video super-resolution
Chengxu Liu, Huan Yang, Jianlong Fu, and Xueming Qian · 2022
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