DYNAMIC LAYER PARTITIONING FOR INCREMENTAL TRAINING OF NEURAL RADIANCE FIELDS

    公开(公告)号:US20240355111A1

    公开(公告)日:2024-10-24

    申请号:US18758110

    申请日:2024-06-28

    CPC classification number: G06V10/82 G06T7/20 G06T7/90 G06T2207/10024

    Abstract: Example apparatus disclosed herein are to train a neural network based on initial video frames of an input video to generate neural representations of the initial video frames, the neural network having a first group of layers and a second group of layers, the first group of layers to be retrained for subsequent video frames after the initial video frames, the second group of layers to be selectively frozen for the subsequent video frames. Disclosed example apparatus are also to select a layer of the second group of layers to be unfrozen for a first video frame subsequent to the initial video frames, and retrain the first group of layers and the selected layer of the second group of layers to generate a neural representation of the first video frame, unselected ones of the second group of layers to remain frozen in the neural representation of the first video frame.

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