Dynamic NeRFs =================================== Performance Overview -------------------- +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | Methods | Dataset | Training Time :math:`\downarrow` | PSNR :math:`\uparrow` | LPIPS :math:`\downarrow` | +======================+===========+==================================+=======================+==========================+ | TiNeuVox `[1]`_ | HyperNeRF | 56.3min | 24.19 | 0.425 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | *+nerfacc (occgrid)* | | 33.0min | 24.19 | 0.434 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | *+nerfacc (propnet)* | | 34.3min | 24.26 | 0.398 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | TiNeuVox `[1]`_ | D-NeRF | 11.8min | 31.14 | 0.050 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | *+nerfacc (occgrid)* | | 4.2min | 31.75 | 0.038 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | K-Planes `[2]`_ | D-NeRF | 63.9min | 30.28 | 0.043 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | *+nerfacc (occgrid)* | | 38.8min | 30.35 | 0.042 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | T-NeRF `[3]`_ | D-NeRF | 20hours | 28.78 | 0.069 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ | *+nerfacc (occgrid)* | | 58min | 32.22 | 0.040 | +----------------------+-----------+----------------------------------+-----------------------+--------------------------+ Implementation Details ---------------------- .. toctree:: :glob: :maxdepth: 1 dynamic/* | 3rd-Party Use Cases ------------------- - `Representing Volumetric Videos as Dynamic MLP Maps, CVPR 2023 `_. .. _`[1]`: https://arxiv.org/abs/2205.15285 .. _`[2]`: https://arxiv.org/abs/2301.10241 .. _`[3]`: https://arxiv.org/abs/2011.13961