CPC H04N 7/014 (2013.01) [G06N 3/045 (2023.01); G06T 3/4007 (2013.01); G06V 10/462 (2022.01); H04N 7/0127 (2013.01); H04N 7/0145 (2013.01); H04N 19/587 (2014.11)] | 18 Claims |
1. A convolutional neural network configured to generate an interpolated image based on a first image and a second image, the convolutional neural network including:
a first network including an encoder and a decoder, the first network configured to:
extract first features from the first image, and
extract second features from the second image;
a feature pyramid configured to:
extract multi-scale features from encoded first features, and
extract multi-scale features from encoded second features; and
a synthesis network configured to:
warp the first features from the first image using a first plurality of parameters,
warp the multi-scale features extracted from the encoded first features using the first plurality of parameters,
warp the second features from the second image using a second plurality of parameters,
warp the multi-scale features extracted from the encoded second features using the second plurality of parameters,
generate a first candidate intermediate frame based on the warped first features and the warped second features,
generate a second candidate intermediate frame based on the warped multi-scale features extracted from the encoded first features and the warped multi-scale features extracted from the encoded second features, and
blend the first candidate intermediate frame and the second candidate intermediate frame to generate an interpolated frame.
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