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IL-NeRF Incremental Learning for Neural Radiance Fields with Camera Pose Alignment
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site name
author
updated
2026-02-21 15:20:23
raw text
IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment Motivation Existing incremental learning methods assume that the camera pose parameters are estimated in advance based on the complete dataset, which poses a paradox as the setting of incremental learning is that the data arrives sequentially. Our IL-NeRF addresses a more practical scenario where pre-estimated camera poses are unavailable for each training data chunk. Challenge Since the previous training data have been discarded, the incoming training data cannot simply be used directly for camera pose estimation because the isolated estimated camera pose will not be in the same coordinate system as the previous camera pose, which will lead to NeRF training misalignment and failure to render the 3D scene. Therefore, accurately estimating the camera poses of the sequential coming data w...
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