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Curiosity | Performance on dynamic data #11
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Hi, thanks for your interest. Our two designs, Lineformer and MLG sampling are general. They can be plugged in other NeRF-based methods. As for the dynamic scenes. I suggest you combine the dynamic design with our proposed techniques. The D-NeRF is an example: D-NeRF: Neural Radiance Fields for Dynamic Scenes, https://github.com/albertpumarola/D-NeRF |
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Hi Authors,
Thank you for deploying the code. It's really helpful to have all architectures in one place. I have a question about how your models would perform on dynamic data. Is it possible to incorporate a temporal aspect into the existing architecture, considering that my data modality changes with time?
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