sunset1995 / DirectVoxGO

Direct voxel grid optimization for fast radiance field reconstruction.
https://sunset1995.github.io/dvgo
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Bad results with TensoRFGrid #37

Open key-destiny opened 2 years ago

key-destiny commented 2 years ago

Dear authors,

Many thanks for open sourcing the impressive work. I got nice results (PSNR nearly 26) when training on my custom data with the given parameters in [configs/custom/Madoka.py], but I'm having trouble with TensoRFGrid (PSNR nearly 18). I appended the following congfigs according to [configs/nerf/ship.tensorf.py] for training with TensoRFGrid.

fine_model_and_render = dict(
    num_voxels=384**3,
    density_type='TensoRFGrid',
    density_config=dict(n_comp=8),
    k0_type='TensoRFGrid',
    k0_config=dict(n_comp=24),
)

I have tried doubling num_voxels or n_comp, and it didn't work. Do you have any ideas? Hope to receive your reply.