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Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021
The main features of computational-imaging/automatic-integration are: Efficient Rendering.
Projects with overlapping indexed features include: 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/mobiler2l — [CVPR 2023] Real-Time Neural Light Field on Mobile Devices. snap-research/r2l — [ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis.
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.
Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
