Official GitHub repo for Learning Normal Flow Directly from Event Neighborhoods. It is an easy-to-use API for event-based normal flow prediction.
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Updated
Jan 6, 2025 - Python
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normal-flow
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Deep learning model to predict the normal flow between two consecutive frames, being the normal flow the projection of the optical flow on the gradient directions.
deep-neural-networks deep-learning cnn pytorch autoencoder convolutional-neural-networks optical-flow residual-networks cnn-model encoder-decoder encoder-decoder-model pytorch-cnn residual-neural-network residual-blocks normal-flow pytorch-implementation encoder-decoder-architecture
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Updated
Feb 2, 2025 - Python
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