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Differentiable image sampling in the form of backward warping has seen broad adoption in tasks like depth estimation and optical flow prediction.
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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A Psychophysical Study of Improvements in Motion-Image Quality by Using High Frame Rates
Yoshihiko Kuroki, Tomohiro Nishi, Seiji Kobayashi, Hideki Oyaizu, and Shinichi Yoshimura · 2007
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Visualizing Higher-Layer Features of a Deep Network
Dumitru Erhan, Yoshua Bengio, Aaron Courville, and Pascal Vincent · 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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Motion Compensated Frame Interpolation With a Symmetric Optical Flow Constraint
Lars Lau Rakêt, Lars Roholm, Andrés Bruhn, and Joachim Weickert · 2012
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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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Temporally Coherent Local Tone Mapping of HDR Video
Tunç Ozan Aydin, Nikolce Stefanoski, Simone Croci, Markus H. Gross, and Aljoscha Smolic · 2014
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Generative Adversarial Nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Effects of Motion Image Stimuli With Normal and High Frame Rates on EEG Power Spectra: Comparison With Continuous Motion Image Stimuli
Yoshihiko Kuroki, Haruo Takahashi, Masahiro Kusakabe, and Ken-ichi Yamakoshi · 2014
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FlowNet: Learning Optical Flow With Convolutional Networks
Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, and Thomas Brox · 2015
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Spatial Transformer Networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu · 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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Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Temporally Coherent Completion of Dynamic Video
Jia-Bin Huang, Sing Bing Kang, Narendra Ahuja, and Johannes Kopf · 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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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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Deconvolution and Checkerboard Artifacts
Augustus Odena, Vincent Dumoulin, and Chris Olah · 2016
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Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Jason J. Yu, Adam W. Harley, and Konstantinos G. Derpanis · 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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Real-Time Video Super-Resolution With Spatio-Temporal Networks and Motion Compensation
Jose Caballero, Christian Ledig, Andrew P. Aitken, Alejandro Acosta, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
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Residual Conv-Deconv Grid Network for Semantic Segmentation
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, and Christian Wolf · 2017
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Semantic Video CNNs Through Representation Warping
Raghudeep Gadde, Varun Jampani, and Peter V. Gehler · 2017
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Unsupervised Monocular Depth Estimation With Left-Right Consistency
Clément Godard, Oisin Mac Aodha, and Gabriel J. Brostow · 2017
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Real-Time Neural Style Transfer for Videos
Haozhi Huang, Hao Wang, Wenhan Luo, Lin Ma, Wenhao Jiang, Xiaolong Zhu, Zhifeng Li, and Wei Liu · 2017
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FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks
Geometry-Aware Deep Network for Single-Image Novel View Synthesis
Miaomiao Liu, Xuming He, and Mathieu Salzmann · 2018
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Unsupervised Learning of Depth and Ego-Motion From Monocular Video Using 3D Geometric Constraints
Reza Mahjourian, Martin Wicke, and Anelia Angelova · 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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Deep Video Color Propagation
Simone Meyer, Victor Cornillère, Abdelaziz Djelouah, Christopher Schroers, and Markus H. Gross · 2018
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PhaseNet for Video Frame Interpolation
Simone Meyer, Abdelaziz Djelouah, Brian McWilliams, Alexander Sorkine-Hornung, Markus H. Gross, and Christopher Schroers · 2018
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RenderNet: A Deep Convolutional Network for Differentiable Rendering From 3D Shapes
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Eddy Ilg, Nikolaus Mayer, Tonmoy Saikia, Margret Keuper, Alexey Dosovitskiy, and Thomas Brox · 2017
Cited alongside, same era.
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, and Andreas Geiger · 2017
Cited alongside, same era.
Video Frame Synthesis Using Deep Voxel Flow
Ziwei Liu, Raymond A. Yeh, Xiaoou Tang, Yiming Liu, and Aseem Agarwala · 2017
Cited alongside, same era.
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
Cited alongside, same era.
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus, Long Mai, and Feng Liu · 2017
Cited alongside, same era.
Optical Flow Estimation Using a Spatial Pyramid Network
Anurag Ranjan and Michael J. Black · 2017
Cited alongside, same era.
Detail-Revealing Deep Video Super-Resolution
Xin Tao, Hongyun Gao, Renjie Liao, Jue Wang, and Jiaya Jia · 2017
Cited alongside, same era.
Thu Nguyen-Phuoc, Chuan Li, Stephen Balaban, and Yong-Liang Yang · 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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Occlusion Aware Unsupervised Learning of Optical Flow
Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, and Wei Xu · 2018
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Video Compression Through Image Interpolation
Chao-Yuan Wu, Nayan Singhal, and Philipp Krähenbühl · 2018
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Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
Jonas Wulff and Michael J. Black · 2018
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
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Depth-Aware Video Frame Interpolation
Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang · 2019
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Learning to Synthesize Motion Blur
Tim Brooks and Jonathan T. Barron · 2019
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Depth-Assisted Full Resolution Network for Single Image-Based View Synthesis
Xiaodong Cun, Feng Xu, Chi-Man Pun, and Hao Gao · 2019
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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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Unsupervised Video Interpolation Using Cycle Consistency
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, and Bryan Catanzaro · 2019
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Video Enhancement With Task-Oriented Flow
Tianfan Xue, Baian Chen, Jiajun Wu, Donglai Wei, and William T. Freeman · 2019
Later among the works it cites.