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Hi, I would like to save a snapshot of a model trained with ParticleNeRF. I tried to use testbed.save_snapshot method. However, if I save a model like this and then reload it into the instant-ngp app with --load_snapshot I see only a ghost-like shape of an object
example for the wheel dataset (the ghost-like shape is barely visible):
From what I have checked it does not matter if the scene is dynamic or not - I get similar behaviour on the fox dataset.
If I restart the training from this ghost-like state the model usually converges more quickly, so clearly some information is saved.
Is there a way to save a ParticleNeRF model in such a way that one has a fully ready visualisation after reloading a snapshot - without the need to restart the training?
The text was updated successfully, but these errors were encountered:
Unfortunately, the save snapshot was not implemented - mainly because it was not needed for the original paper. The network however is being saved which explains the ghosting.
Hi, I would like to save a snapshot of a model trained with ParticleNeRF. I tried to use
testbed.save_snapshot
method. However, if I save a model like this and then reload it into theinstant-ngp
app with--load_snapshot
I see only a ghost-like shape of an objectFrom what I have checked it does not matter if the scene is dynamic or not - I get similar behaviour on the fox dataset.
If I restart the training from this ghost-like state the model usually converges more quickly, so clearly some information is saved.
Is there a way to save a ParticleNeRF model in such a way that one has a fully ready visualisation after reloading a snapshot - without the need to restart the training?
The text was updated successfully, but these errors were encountered: