Neural Fields: Difference between revisions

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The idea here is to have an MLP which models the deformation of a canonical frame to the target frame.
The idea here is to have an MLP which models the deformation of a canonical frame to the target frame.


* [https://nerfies.github.io/ Nerfies: Deformable Neural Radiance Fields]
** Windowed positional encoding
* [https://www.albertpumarola.com/research/D-NeRF/index.html D-NeRF (CVPR 2020)]
* [https://www.albertpumarola.com/research/D-NeRF/index.html D-NeRF (CVPR 2020)]
* [https://hypernerf.github.io/ HyperNeRF (SIGGRAPH Asia 2021)]
* [https://hypernerf.github.io/ HyperNeRF (SIGGRAPH Asia 2021)]
** Allows the deformation network to output 2 additional feature values which ''slice'' the canonical NeRF.


====Latent code====
====Latent code====
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====Time-axis====
====Time-axis====
* [https://video-nerf.github.io/ Space-time Neural Irradiance Fields for Free-Viewpoint Video (Video-NeRF)]
** Adds a bunch of regularization which allows directly inputting time to the MLP.
* [https://aoliao12138.github.io/FPO/ Fourier PlenOctrees]
** Apply DFT to spherical harmonics in PlenOctrees.
* [https://arxiv.org/pdf/2202.06088.pdf NeuVV]
** Hyperspherical Harmonics
* [https://arxiv.org/abs/2301.11280 Text-To-4D Dynamic Scene Generation (2023)]
* [https://arxiv.org/abs/2301.11280 Text-To-4D Dynamic Scene Generation (2023)]
** Extends the tri-plane feature grid to a six-plane feature grid ({x, y, z, t} choose 2).
** Extends the tri-plane feature grid to a six-plane feature grid ({x, y, z, t} choose 2).
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Segment static background and objects from dynamic background and objects
Segment static background and objects from dynamic background and objects


* [https://arxiv.org/pdf/2104.14786.pdf Editable Free-Viewpoint Video using a Layered Neural Representation]
** Create a scene by compositing one NeRF per actor.
* [https://arxiv.org/abs/2303.03361 NeRFlets (2023)]
* [https://arxiv.org/abs/2303.03361 NeRFlets (2023)]
* [https://arxiv.org/abs/2303.14536 SUDS: Scalable Urban Dynamic Scenes (2023)]
* [https://arxiv.org/abs/2303.14536 SUDS: Scalable Urban Dynamic Scenes (2023)]