Quyans / SG-NeRF

semantic guided nerf for indoor scene.

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This is the officially implemented of paper "SG-NeRF: Semantic-guided Point-based Neural Radiance Fields"

Light field browser GUI

Attention!!! 相机插值功能基于 mitsuba2 开发,只能是mitsuba2,不能是mitsuba3

要求 gcc>=8.4 步骤:

https://mitsuba2.readthedocs.io/en/latest/src/getting_started/compiling.html

`bash export CC=clang-9 export CXX=clang++-9

mkdir build cd build cmake -GNinja .. ninja

#然后将接下来的代码加入~/.bashrc MITSUBA_DIR=/home/vr717/Documents/qys/code/mitsuba2 MITSUBA_BUILD_DIR="build" export PYTHONPATH="$MITSUBA_DIR/dist/python:$MITSUBA_DIR/$MITSUBA_BUILD_DIR/dist/python:$PYTHONPATH" export PATH="$MITSUBA_DIR/dist:$MITSUBA_DIR/$MITSUBA_BUILD_DIR/dist:$PATH" `

如果不需要相机插值,只需要注释掉前面的,并注释掉报错的方法 python import mitsuba mitsuba.set_variant('scalar_rgb') from mitsuba.core import ScalarTransform4f, AnimatedTransform

Code is based on awesome Point-NeRF.

@article{xu2022point,
  title={Point-NeRF: Point-based Neural Radiance Fields},
  author={Xu, Qiangeng and Xu, Zexiang and Philip, Julien and Bi, Sai and Shu, Zhixin and Sunkavalli, Kalyan and Neumann, Ulrich},
  journal={arXiv preprint arXiv:2201.08845},
  year={2022}
}

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semantic guided nerf for indoor scene.

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