Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RIFE: Real-Time Intermediate Flow Estimation for Video Frame
  Interpolation   We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for Video
Frame Interpolation (VFI). Many recent flow-based VFI methods first estimate
the bi-directional optical flows, then scale and reverse them to approximate
intermediate flows, leading to artifacts on motion boundaries and complex
pipelines. RIFE uses a neural network named IFNet that can directly estimate
the intermediate flows from coarse-to-fine with much better speed. We design a
privileged distillation scheme for training IFNet, resulting in a large
performance improvement. RIFE does not rely on pre-trained optical flow models
and can support arbitrary-timestep frame interpolation with the temporal
encoding input. Experiments demonstrate that RIFE achieves state-of-the-art
performance on several public benchmarks. Compared with the popular SuperSlomo
and DAIN methods, RIFE is 4--27 times faster and produces better results. The
code is available at https://github.com/hzwer/arXiv2020-RIFE.

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The categories of this paper are: math
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The categories of this paper are: hep-th
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The categories of this paper are: physics
31
The categories of this paper are: ao-sci
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat
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The categories of this paper are: q-fin
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The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: astro-ph
8
The categories of this paper are: hep-ex
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-alg
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The categories of this paper are: mtrl-th
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The categories of this paper are: cond-mat