Progressive Spatial-temporal Collaborative Network for Video Frame Interpolation

Author:

Hu Mengshun1,Jiang Kui1,Liao Liang2,Nie Zhixiang1,Xiao Jing1,Wang Zheng1

Affiliation:

1. Wuhan University, Wuhan, China

2. Nanyang Technological University, Singapore, Singapore

Funder

National Natural Science Foundation of China

National Key R&D Project

Publisher

ACM

Reference55 articles.

1. Wenbo Bao Wei-Sheng Lai Chao Ma Xiaoyun Zhang Zhiyong Gao and Ming-Hsuan Yang. 2019a. Depth-aware video frame interpolation. In CVPR. 3703--3712. Wenbo Bao Wei-Sheng Lai Chao Ma Xiaoyun Zhang Zhiyong Gao and Ming-Hsuan Yang. 2019a. Depth-aware video frame interpolation. In CVPR. 3703--3712.

2. Wenbo Bao , Wei-Sheng Lai , Xiaoyun Zhang , Zhiyong Gao , and Ming-Hsuan Yang . 2019 b. Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement. PAMI (2019). Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang. 2019b. Memc-net: Motion estimation and motion compensation driven neural network for video interpolation and enhancement. PAMI (2019).

3. Adrian Bulat , Juan Manuel Perez Rua , Swathikiran Sudhakaran, Brais Martinez, and Georgios Tzimiropoulos. 2021 . Space-time mixing attention for video transformer. Advances in Neural Information Processing Systems , Vol. 34 (2021). Adrian Bulat, Juan Manuel Perez Rua, Swathikiran Sudhakaran, Brais Martinez, and Georgios Tzimiropoulos. 2021. Space-time mixing attention for video transformer. Advances in Neural Information Processing Systems , Vol. 34 (2021).

4. Two deterministic half-quadratic regularization algorithms for computed imaging

5. Chun-Fu Richard Chen , Quanfu Fan , and Rameswar Panda . 2021 . Crossvit: Cross-attention multi-scale vision transformer for image classification . In Proceedings of the IEEE/CVF International Conference on Computer Vision. 357--366 . Chun-Fu Richard Chen, Quanfu Fan, and Rameswar Panda. 2021. Crossvit: Cross-attention multi-scale vision transformer for image classification. In Proceedings of the IEEE/CVF International Conference on Computer Vision. 357--366.

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