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Video frame interpolation, the synthesis of novel views in time, is an increasingly popular research direction with many new papers further advancing the state of the art.
Normalized and Differential Convolution
Hans Knutsson and Carl-Fredrik Westin · 1993
Earlier work this paper cites.
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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Filter Flow
Steven M. Seitz and Simon Baker · 2009
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A Database and Evaluation Methodology for Optical Flow
Simon Baker, Daniel Scharstein, J. P. Lewis, Stefan Roth, Michael J. Black, and Richard Szeliski · 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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Return of the Devil in the Details: Delving Deep Into Convolutional Nets
Ken Chatfield, Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2014
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Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan and Andrew Zisserman · 2014
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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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Phase-Based Frame Interpolation for Video
Simone Meyer, Oliver Wang, Henning Zimmer, Max Grosse, and Alexander Sorkine-Hornung · 2015
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Unsupervised Learning for Physical Interaction Through Video Prediction
Chelsea Finn, Ian J. Goodfellow, and Sergey Levine · 2016
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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dynamic Filter Networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc Van Gool · 2016
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Learning-Based View Synthesis for Light Field Cameras
Nima Khademi Kalantari, Ting-Chun Wang, and Ravi Ramamoorthi · 2016
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Seven Ways to Improve Example-Based Single Image Super Resolution
Radu Timofte, Rasmus Rothe, and Luc Van Gool · 2016
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Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks
Tianfan Xue, Jiajun Wu, Katherine L. Bouman, and Bill Freeman · 2016
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View Synthesis by Appearance Flow
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A. Efros · 2016
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Kernel-Predicting Convolutional Networks for Denoising Monte Carlo Renderings
Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony DeRose, and Fabrice Rousselle · 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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Frame Interpolation With Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Joost R. van Amersfoort, Wenzhe Shi, Alejandro Acosta, Francisco Massa, Johannes Totz, Zehan Wang, and Jose Caballero · 2017
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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 · 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 G. Learned-Miller, and Jan Kautz · 2018
Cited alongside, same era.
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, and Seon Joo Kim · 2018
Cited alongside, same era.
MegaDepth: Learning Single-View Depth Prediction From Internet Photos
Zhengqi Li and Noah Snavely · 2018
Cited alongside, same era.
Deep Video Color Propagation
Simone Meyer, Victor Cornillère, Abdelaziz Djelouah, Christopher Schroers, and Markus H. Gross · 2018
Cited alongside, same era.
PhaseNet for Video Frame Interpolation
Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus H. Gross, and Christopher Schroers · 2018
Cited alongside, same era.
Burst Denoising With Kernel Prediction Networks
Video Enhancement With Task-Oriented Flow
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T. Freeman · 2019
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Making Convolutional Networks Shift-Invariant Again
Richard Zhang · 2019
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Spatio-Temporal Filter Adaptive Network for Video Deblurring
Shangchen Zhou, Jiawei Zhang, Jinshan Pan, Wangmeng Zuo, Haozhe Xie, and Jimmy S. J. Ren · 2019
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Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution
Xianhang Cheng and Zhenzhong Chen · 2020
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Video Frame Interpolation via Deformable Separable Convolution
Xianhang Cheng and Zhenzhong Chen · 2020
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All at Once: Temporally Adaptive Multi-Frame Interpolation With Advanced Motion Modeling
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, and Konstantinos N. Plataniotis · 2020
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Ben Mildenhall, Jonathan T. Barron, Jiawen Chen, Dillon Sharlet, Ren Ng, and Robert Carroll · 2018
Cited alongside, same era.
Context-Aware Synthesis for Video Frame Interpolation
Simon Niklaus and Feng Liu · 2018
Cited alongside, same era.
SDC-Net: Video Prediction Using Spatially-Displaced Convolution
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, and Bryan Catanzaro · 2018
Cited alongside, same era.
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
Cited alongside, same era.
Denoising With Kernel Prediction and Asymmetric Loss Functions
Thijs Vogels, Fabrice Rousselle, Brian McWilliams, Gerhard Röthlin, Alex Harvill, David Adler, Mark Meyer, and Jan Novák · 2018
Cited alongside, same era.
Video Compression Through Image Interpolation
Chao-Yuan Wu, Nayan Singhal, and Philipp Krähenbühl · 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.
Closest in time.
Scene-Adaptive Video Frame Interpolation via Meta-Learning
Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, and Kyoung Mu Lee · 2020
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Channel Attention Is All You Need for Video Frame Interpolation
Myungsub Choi, Heewon Kim, Bohyung Han, Ning Xu, and Kyoung Mu Lee · 2020
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FISR: Deep Joint Frame Interpolation and Super-Resolution With a Multi-Scale Temporal Loss
Soo Ye Kim, Jihyong Oh, and Munchurl Kim · 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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Learning Event-Driven Video Deblurring and Interpolation
Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, and Jimmy Ren · 2020
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Enhanced Quadratic Video Interpolation
Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, and Chao Dong · 2020
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Softmax Splatting for Video Frame Interpolation
Simon Niklaus and Feng Liu · 2020
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Understanding SSIM
Jim Nilsson and Tomas Akenine-Möller · 2020
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Deep Slow Motion Video Reconstruction With Hybrid Imaging System
Avinash Paliwal and Nima Khademi Kalantari · 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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Blurry Video Frame Interpolation
Wang Shen, Wenbo Bao, Guangtao Zhai, Li Chen, Xiongkuo Min, and Zhiyong Gao · 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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RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed and Jia Deng · 2020
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Basis Prediction Networks for Effective Burst Denoising With Large Kernels
Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, and Ayan Chakrabarti · 2020
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Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, and Chenliang Xu · 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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Delving Deeper Into Anti-Aliasing in ConvNets
Xueyan Zou, Fanyi Xiao, Zhiding Yu, and Yong Jae Lee · 2020
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