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Frame interpolation attempts to synthesise frames given one or more consecutive video frames.
Determining optical flow
Horn, B.K., Schunck, B.G.: · 1980
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Two-frame motion estimation based on polynomial expansion
Farnebäck, G.: · 2003
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High accuracy optical flow estimation based on a theory for warping
Brox, T., Bruhn, A., Papenberg, N., Weickert, J.: · 2004
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A low-cost video frame-rate up conversion using compressed-domain information
Sekiguchi, S., Idehara, Y., Sugimoto, K., Asai, K.: · 2005
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Secrets of optical flow estimation and their principles
Sun, D., Roth, S., Black, M.J.: · 2010
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Optical flow guided TV-L1 video interpolation and restoration
Werlberger, M., Pock, T., Unger, M., Bischof, H.: · 2011
Earlier work this paper cites.
A database and evaluation methodology for optical flow
Baker, S., Scharstein, D., Lewis, J.P., Roth, S., Black, M.J., Szeliski, R.: · 2011
Earlier work this paper cites.
Large displacement optical flow: descriptor matching in variational motion estimation
Brox, T., Malik, J.: · 2011
Earlier work this paper cites.
Motion compensated frame interpolation with a symmetric optical flow constraint
Rakêt, L.L., Roholm, L., Bruhn, A., Weickert, J.: · 2012
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Motion detail preserving optical flow estimation
Xu, L., Jia, J., Matsushita, Y.: · 2012
Earlier work this paper cites.
DeepFlow: Large displacement optical flow with deep matching
Weinzaepfel, P., Revaud, J., Harchaoui, Z., Schmid, C.: · 2013
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Phase-based frame interpolation for video
Meyer, S., Wang, O., Zimmer, H., Grosse, M., Sorkine-Hornung, A.: · 2015
Cited alongside, same era.
Efficient sparse-to-dense optical flow estimation using a learned basis and layers
Wulff, J., Black, M.J.: · 2015
Cited alongside, same era.
FlowNet: Learning optical flow with convolutional networks
Dosovitskiy, A., Fischery, P., Ilg, E., Hazirbas, C., Golkov, V., van der Smagt, P., Cremers, D., Brox, T.: · 2015
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Kingma, D., Ba, J.: · 2015
Cited alongside, same era.
RE: Vision Effects, Twixtor, accessed in Feb 2016 at http://revisionfx.com/products/twixtor/
: · 2016
Cited alongside, same era.
Deepwarp: Photorealistic image resynthesis for gaze manipulation
Ganin, Y., Kononenko, D., Sungatullina, D., Lempitsky, V.: · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Radford, A., Metz, L., Chintala, S.: · 2016
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Youtube-8m: A large-scale video classification benchmark
Abu-El-Haija, S., Kothari, N., Lee, J., Natsev, P., Toderici, G., Varadarajan, B., Vijayanarasimhan, S.: · 2016
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Video frame synthesis using deep voxel flow
Liu, Z., Yeh, R., Tang, X., Liu, Y., Agarwala, A.: · 2017
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Video frame interpolation via adaptive separable convolution
Niklaus, S., Mai, L., Liu, F.: · 2017
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Flownet 2.0: Evolution of optical flow estimation with deep networks
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Perceptual losses for real-time style transfer and super-resolution
Johnson, J., Alahi, A., Fei-Fei, L.: · 2016
Cited alongside, same era.
Efficient Coarse-to-Fine PatchMatch for Large Displacement Optical Flow
Hu, Y., Song, R., Li, Y.: · 2016
Cited alongside, same era.
Unsupervised Deep Learning for Optical Flow Estimation
Ren, Z., Yan, J., Ni, B., Liu, B., Yang, X., Zha, H.: · 2016
Cited alongside, same era.
Back to Basics : Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Yu, J.J., Harley, A.W., Derpanis, K.G.: · 2016
Cited alongside, same era.
Unsupervised convolutional neural networks for motion estimation
Ahmadi, A., Patras, I.: · 2016
Cited alongside, same era.
Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: · 2017
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Optical flow estimation using a spatial pyramid network
Ranjan, A., Black, M.J.: · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Ledig, C., Theis, L., Huszár, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., Shi, W.: · 2017
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Video frame interpolation via adaptive convolution
Niklaus, S., Mai, L., Liu, F.: · 2017
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Spatial transformer networks
Jaderberg, M., Simonyan, K., Zisserman, A., et al.: · 2025
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