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Video frame interpolation (VFI) is currently a very active research topic, with applications spanning computer vision, post production and video encoding.
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Li-Yi Wei and Marc Levoy · 2000
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500-11, methodology for the subjective assessment of the quality of television pictures,”
Recommendation ITU-R BT · 2002
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Gianfranco Doretto, Alessandro Chiuso, Ying Nian Wu, and Stefano Soatto · 2003
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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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Model compression
Cristian Buciluǎ, Rich Caruana, and Alexandru Niculescu-Mizil · 2006
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Image quality metrics: PSNR vs. SSIM
Alain Hore and Djemel Ziou · 2010
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A database and evaluation methodology for optical flow
Simon Baker, Daniel Scharstein, JP Lewis, Stefan Roth, Michael J Black, and Richard Szeliski · 2011
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A parametric framework for video compression using region-based texture models
Fan Zhang and David R Bull · 2011
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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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Overview of the high efficiency video coding (HEVC) standard
Gary J Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand · 2012
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Texture synthesis using convolutional neural networks
Leon Gatys, Alexander S Ecker, and Matthias Bethge · 2015
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Distilling the knowledge in a neural network
Geoffrey Hinton, Oriol Vinyals, and Jeff Dean · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, et al · 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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Learning image matching by simply watching video
Gucan Long, Laurent Kneip, Jose M Alvarez, Hongdong Li, Xiaohu Zhang, and Qifeng Yu · 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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Stationary dynamic texture synthesis using convolutional neural networks
Feng Yang, Gui-Song Xia, Liangpei Zhang, and Xin Huang · 2016
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Optimizing the latent space of generative networks
Piotr Bojanowski, Armand Joulin, David Lopez-Paz, and Arthur Szlam · 2017
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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 Tremeau, and Christian Wolf · 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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Deep multi-scale convolutional neural network for dynamic scene deblurring
Seungjun Nah, Tae Hyun Kim, and Kyoung Mu Lee · 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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Temporal generative adversarial nets with singular value clipping
Masaki Saito, Eiichi Matsumoto, and Shunta Saito · 2017
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Aggregated residual transformations for deep neural networks
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He · 2017
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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 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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RIFE: Real-time intermediate flow estimation for video frame interpolation
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, and Shuchang Zhou · 2020
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Flavr: Flow-agnostic video representations for fast frame interpolation
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, and Du Tran · 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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The perception-distortion tradeoff
Yochai Blau and Tomer Michaeli · 2018
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 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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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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Enhanced quadratic video interpolation
Yihao Liu, Liangbin Xie, Li Siyao, Wenxiu Sun, Yu Qiao, and Chao Dong · 2020
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CVEGAN: A perceptually-inspired gan for compressed video enhancement
Di Ma, Fan Zhang, and David R Bull · 2020
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UVG dataset: 50/120fps 4k sequences for video codec analysis and development
Alexandre Mercat, Marko Viitanen, and Jarno Vanne · 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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Video interpolation via generalized deformable convolution
Zhihao Shi, Xiaohong Liu, Kangdi Shi, Linhui Dai, and Jun Chen · 2020
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A flexible recurrent residual pyramid network for video frame interpolation
Haoxian Zhang, Yang Zhao, and Ronggang Wang · 2020
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PDWN: Pyramid deformable warping network for video interpolation
Zhiqi Chen, Ran Wang, Haojie Liu, and Yao Wang · 2021
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Multiple video frame interpolation via enhanced deformable separable convolution
Xianhang Cheng and Zhenzhong Chen · 2021
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Texture-aware video frame interpolation
Duolikun Danier and David Bull · 2021
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CDFI: Compression-driven network design for frame interpolation
Tianyu Ding, Luming Liang, Zhihui Zhu, and Ilya Zharkov · 2021
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BVI-DVC: A training database for deep video compression
Di Ma, Fan Zhang, and David Bull · 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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XVFI: extreme video frame interpolation
Hyeonjun Sim, Jihyong Oh, and Munchurl Kim · 2021
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Conditional generative convnets for exemplar-based texture synthesis
Zi-Ming Wang, Meng-Han Li, and Gui-Song Xia · 2021
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Spatiotemporal generative adversarial network-based dynamic texture synthesis for surveillance video coding
Kun Yang, Dong Liu, Zhibo Chen, Feng Wu, and Weiping Li · 2021
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