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Continuous Dynamic-NeRF: Spline-NeRF
[article]
2022
arXiv
pre-print
The problem of reconstructing continuous functions over time is important for problems such as reconstructing moving scenes, and interpolating between time steps. Previous approaches that use deep-learning rely on regularization to ensure that reconstructions are approximately continuous, which works well on short sequences. As sequence length grows, though, it becomes more difficult to regularize, and it becomes less feasible to learn only through regularization. We propose a new architecture
arXiv:2203.13800v1
fatcat:okdudn47frcbrfsgh4f3ulwcii