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NVlabs / neuralangelo

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

Home Page:https://research.nvidia.com/labs/dir/neuralangelo/

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Can I reduce Polygon count?

MicKkmack opened this issue · comments

commented

Hi ,

I've managed to get some good results , but I'm struggling to load them due to the amount of polygons.

I'm getting around 15,000,000 polygons, whereas Nerf Studio gives me around 50,000 , does anyone know if there is a parameter to lower this or what causes that many polygons?

Thanks! :)

commented

Lower RESOLUTION to reduce the mesh size during the isosurface extraction stage:

CHECKPOINT=logs/${GROUP}/${NAME}/xxx.pt
OUTPUT_MESH=xxx.ply
CONFIG=logs/${GROUP}/${NAME}/config.yaml
RESOLUTION=2048
BLOCK_RES=128
GPUS=1  # use >1 for multi-GPU mesh extraction
torchrun --nproc_per_node=${GPUS} projects/neuralangelo/scripts/extract_mesh.py \
    --config=${CONFIG} \
    --checkpoint=${CHECKPOINT} \
    --output_file=${OUTPUT_MESH} \
    --resolution=${RESOLUTION} \
    --block_res=${BLOCK_RES}
commented

Lower RESOLUTION to reduce the mesh size during the isosurface extraction stage:

CHECKPOINT=logs/${GROUP}/${NAME}/xxx.pt
OUTPUT_MESH=xxx.ply
CONFIG=logs/${GROUP}/${NAME}/config.yaml
RESOLUTION=2048
BLOCK_RES=128
GPUS=1  # use >1 for multi-GPU mesh extraction
torchrun --nproc_per_node=${GPUS} projects/neuralangelo/scripts/extract_mesh.py \
    --config=${CONFIG} \
    --checkpoint=${CHECKPOINT} \
    --output_file=${OUTPUT_MESH} \
    --resolution=${RESOLUTION} \
    --block_res=${BLOCK_RES}

Thanks a lot, that worked :)

commented

Hi,

I was wondering if there is a way to extract the mesh in parts. I am running out of GPU memory for the extraction, and I would like to achieve a better resolution.

Thank you!