With just the beginning and end frames, this 3D convolutional neural network can fill in the gaps. The process, known as ��inbetweening,�� can generate intermediate frames between two given points. The technique is normally executed by training and running recurrent neural networks. In this work, using NVIDIA V100 GPUs for training, Google AI researchers instead used a 3D CNN to generate��
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