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JiahuiLei / GART

GART: Gaussian Articulated Template Models
https://www.cis.upenn.edu/~leijh/projects/gart/
MIT License
243 stars 12 forks source link

VRAM usage and mesh generation #11

Open FilipAnjou opened 6 months ago

FilipAnjou commented 6 months ago

Hi, thanks for developing a fascinating algorithm!

I have just attempted running it on an Nvidia RTX 4070 with 12 GB VRAM, and get a CUDA out of memory error when running bash script/fit_people_30s.sh (it attempts to allocate ~13GB). I now wonder if there are any simple ways of reducing the VRAM usage during the fitting of the model — for example, which parameters in profiles/people/people_30s.yaml have the largest effect on memory?

Additionally, what would be the preferred way of generating a textured mesh from the learned avatar?

Thanks, Filip

yhd-ai commented 4 months ago

Similar question about generating meshes

fantasy-fish commented 1 day ago

Same question about generating the mesh(smplx model)?