In the linked video presentation [1] they automatically turn the NeRF into a mesh, so you could do the same and get faster rendering speed than SDFs. I wonder i

In the linked video presentation [1] they automatically turn the NeRF into a mesh, so you could do the same and get faster rendering speed than SDFs. I wonder if simply enforcing less transparency towards the end of the training in a trained NeRF would help with converging to sharper object boundaries and would get the benefits of fast training without the downsides. The linked paper doesn't even discuss training times which suggests it's really bad. NeRFs a are also direction-dependent so work with specular surfaces too. [1]: https://nvlabs.github.io/instant-ngp/assets/mueller2022instant.mp4 https://nvlabs.github.io/instant-ngp/assets/mueller2022insta... (I edited my post so maybe you replied to an earlier version)