Cross-Attention Transformer for Video Interpolation
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-27066-6_23
Reference58 articles.
1. Choi, M., Kim, H., Han, B., Xu, N., Lee, K.M.: Channel attention is all you need for video frame interpolation. In: AAAI (2020)
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3. Niklaus, S., Liu, F.: Softmax splatting for video frame interpolation. In: IEEE Conference on Computer Vision and Pattern Recognition (2020)
4. Park, J., Ko, K., Lee, C., Kim, C.S.: Bmbc: bilateral motion estimation with bilateral cost volume for video interpolation. In: European Conference on Computer Vision (2020)
5. Bao, W., Lai, W.S., Ma, C., Zhang, X., Gao, Z., Yang, M.H.: Depth-aware video frame interpolation. In: IEEE Conference on Computer Vision and Pattern Recognition (2019)
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