[CVPR 2023] Real-Time Neural Light Field on Mobile Devices
The main features of snap-research/mobiler2l are: Efficient Rendering.
Open-source alternatives to snap-research/mobiler2l include: computational-imaging/automatic-integration — Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021. creiser/kilonerf — Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. facebookresearch/donerf — Code for "DONeRF Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks". facebookresearch/nsvf — Open source code for the paper of Neural Sparse Voxel Fields. heng14/dylin — Source code for CVPR 2023 DyLiN paper. snap-research/r2l — [ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis.
Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Code for "DONeRF Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks"
Open source code for the paper of Neural Sparse Voxel Fields.
Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021