VRAM usage and mesh generation

[FilipAnjou]

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]

Similar question about generating meshes

[fantasy-fish]

Same question about generating the mesh(smplx model)?