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We present All-Pairs Multi-Field Transforms (AMT), a new network architecture for video frame interpolation.
Two deterministic half-quadratic regularization algorithms for computed imaging
Pierre Charbonnier, Laure Blanc-Feraud, Gilles Aubert, and Michel Barlaud · 1994
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Xiph.org video test media (derf’s collection)
Christopher Montgomery · 1994
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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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Fast cost-volume filtering for visual correspondence and beyond
Asmaa Hosni, Christoph Rhemann, Michael Bleyer, Carsten Rother, and Margrit Gelautz · 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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U-net: Convolutional networks for biomedical image segmentation
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Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
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Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 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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Deformable convolutional networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, and Yichen Wei · 2017
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End-to-end learning of geometry and context for deep stereo regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry · 2017
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Video frame synthesis using deep voxel flow
Ziwei Liu, Raymond 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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Deep video deblurring for hand-held cameras
Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, and Oliver Wang · 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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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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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation
Tak-Wai Hui, Xiaoou Tang, and Chen Change Loy · 2018
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Parn: Pyramidal affine regression networks for dense semantic correspondence
Sangryul Jeon, Seungryong Kim, Dongbo Min, and Kwanghoon Sohn · 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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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UnFlow: Unsupervised learning of optical flowwith 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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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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Iterative residual refinement for joint optical flow and occlusion estimation
Junhwa Hur and Stefan Roth · 2019
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Im-net for high resolution video frame interpolation
Tomer Peleg, Pablo Szekely, Doron Sabo, and Omry Sendik · 2019
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Revisiting adaptive convolutions for video frame interpolation
Simon Niklaus, Long Mai, and Oliver Wang · 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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Deep animation video interpolation in the wild
Li Siyao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris Metaxas, Chen Change Loy, and Ziwei Liu · 2021
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Raft-3d: Scene flow using rigid-motion embeddings
Zachary Teed and Jia Deng · 2021
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High-resolution optical flow from 1d attention and correlation
Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, and Xin Tong · 2021
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A fusion approach for multi-frame optical flow estimation
Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B Sudderth, and Jan Kautz · 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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Video frame interpolation via deformable separable convolution
Xianhang Cheng and Zhenzhong Chen · 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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Flavr: Flow-agnostic video representations for fast frame interpolation
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, and Du Tran · 2020
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Separable flow: Learning motion cost volumes for optical flow estimation
Feihu Zhang, Oliver J. Woodford, Victor Adrian Prisacariu, and Philip H.S. Torr · 2021
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BasicVSR++: Improving video super-resolution with enhanced propagation and alignment
Kelvin C.K. Chan, Shangchen Zhou, Xiangyu Xu, and Chen Change Loy · 2022
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Error-aware spatial ensembles for video frame interpolation
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Yuanhao Yu, Juwei Lu, Jin Tang, and Konstantinos N Plataniotis · 2022
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Many-to-many splatting for efficient video frame interpolation
Ping Hu, Simon Niklaus, Stan Sclaroff, and Kate Saenko · 2022
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FlowFormer: A transformer architecture for optical flow
Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, and Hongsheng Li · 2022
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Real-time intermediate flow estimation for video frame interpolation
Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, and Shuchang Zhou · 2022
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Neighbor correspondence matching for flow-based video frame synthesis
Zhaoyang Jia, Yan Lu, and Houqiang Li · 2022
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Ifrnet: Intermediate feature refine network for efficient frame interpolation
Lingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu, Xiaoming Huang, Ying Tai, Chengjie Wang, and Jie Yang · 2022
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Towards an end-to-end framework for flow-guided video inpainting
Zhen Li, Cheng-Ze Lu, Jianhua Qin, Chun-Le Guo, and Ming-Ming Cheng · 2022
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Flow-guided sparse transformer for video deblurring
Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, and Luc Van Gool · 2022
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Video frame interpolation with transformer
Liying Lu, Ruizheng Wu, Huaijia Lin, Jiangbo Lu, and Jiaya Jia · 2022
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A perceptual quality metric for video frame interpolation
Feng Liu Qiqi Hou, Abhijay Ghildyal · 2022
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Film: Frame interpolation for large motion
Fitsum Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, and Brian Curless · 2022
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Video frame interpolation transformer
Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, and Ming-Hsuan Yang · 2022
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Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2022
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Enhanced bi-directional motion estimation for video frame interpolation
Jin Xin, Wu Longhai, Shen Guotao, Chen Youxin, Chen Jie, Koo Jayoon, and Hahm Cheul-hee · 2022
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Gmflow: Learning optical flow via global matching
Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, and Dacheng Tao · 2022
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Global matching with overlapping attention for optical flow estimation
Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, and Dimitris Metaxas · 2022
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A dynamic multi-scale voxel flow network for video prediction
Xiaotao Hu, Zhewei Huang, Ailin Huang, Jun Xu, and Shuchang Zhou · 2023
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Extracting motion and appearance via inter-frame attention for efficient video frame interpolation
Guozhen Zhang, Yuhan Zhu, Hongya Wang, Youxin Chen, Gangshan Wu, and Limin Wang · 2023
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