EMCFN: Edge-based Multi-scale Cross Fusion Network for video frame interpolation
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Published:2024-08
Issue:
Volume:103
Page:104226
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ISSN:1047-3203
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Container-title:Journal of Visual Communication and Image Representation
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language:en
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Short-container-title:Journal of Visual Communication and Image Representation
Author:
Wang Shaowen, Yang Xiaohui, Feng Zhiquan, Sun JiandeORCID, Liu JuORCID
Reference54 articles.
1. L. Siyao, S. Zhao, W. Yu, W. Sun, D. Metaxas, C.C. Loy, Z. Liu, Deep Animation Video Interpolation in the Wild, in: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., CVPR, 2021, pp. 6587–6595. 2. T. Ding, L. Liang, Z. Zhu, I. Zharkov, CDFI: Compression-Driven Network Design for Frame Interpolation, in: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., CVPR, 2021, pp. 8001–8011. 3. H. Lee, T. Kim, T.-y. Chung, D. Pak, Y. Ban, S. Lee, AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation, in: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., CVPR, 2020, pp. 5316–5325. 4. J. Flynn, I. Neulander, J. Philbin, N. Snavely, DeepStereo: Learning to Predict New Views From the World’s Imagery, in: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., CVPR, 2016, pp. 5515–5524. 5. T. Peleg, P. Szekely, D. Sabo, O. Sendik, IM-Net for High Resolution Video Frame Interpolation, in: Proc. IEEE/CVF Conf. Comput. Vis. Pattern Recognit., CVPR, 2019, pp. 2398–2407.
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