Google Research's FILM model uses TensorFlow 2.0 and multi-scale feature extraction to create high-quality interpolated frames between video sequences, with efficient computation and minimal resource requirements.
Google Research's FILM model uses TensorFlow 2.0 and multi-scale feature extraction to create high-quality interpolated frames between video sequences, with efficient computation and minimal resource requirements.
Google Research's FILM Model Interpolates Smooth Motion from Three Consecutive Frames
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