Recommended export settings

[reynoldscem]

Hi, I was wondering what settings you would recommend for exporting textured models?

[seasonSH]

Our experiment mainly focused on NeRF generation. You might follow the same instructions as in threestudio to export meshes. But we found that directly exporting mesh from implicit-volume using threestudio does not look well, so a second-stage refinement (e.g. DMTet) might be needed for that.

[TLB-MISS]

@seasonSH

If I run the script without the shading version, I will not be able to export the mesh even if I follow threestudio's instructions(with shading version is ok).

The error message is as follows:

Traceback (most recent call last):
  File "launch.py", line 237, in <module>
    main(args, extras)
  File "launch.py", line 195, in main
    trainer.predict(system, datamodule=dm, ckpt_path=cfg.resume)
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 852, in predict
    return call._call_and_handle_interrupt(
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/trainer/call.py", line 43, in _call_and_handle_interrupt
    return trainer_fn(*args, **kwargs)
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 894, in _predict_impl
    results = self._run(model, ckpt_path=ckpt_path)
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/trainer/trainer.py", line 946, in _run
    self._checkpoint_connector._restore_modules_and_callbacks(ckpt_path)
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/trainer/connectors/checkpoint_connector.py", line 400, in _restore_modules_and_callbacks
    self.restore_model()
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/trainer/connectors/checkpoint_connector.py", line 280, in restore_model
    trainer.strategy.load_model_state_dict(self._loaded_checkpoint)
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/pytorch_lightning/strategies/strategy.py", line 364, in load_model_state_dict
    self.lightning_module.load_state_dict(checkpoint["state_dict"])
  File "/media/ssd1/sangwon/anaconda3/envs/mvdream/lib/python3.8/site-packages/torch/nn/modules/module.py", line 2041, in load_state_dict
    raise RuntimeError('Error(s) in loading state_dict for {}:\n\t{}'.format(
RuntimeError: Error(s) in loading state_dict for MVDreamSystem:
        Unexpected key(s) in state_dict: "material.ambient_light_color", "material.diffuse_light_color".

Thanks

[seasonSH]

looks like the material settings are different in config file. Make sure it is the same as training

[lakpa-tamang9]

Hi @reynoldscem, Did you figure out to export the mesh?

[reynoldscem]

@lakpa-tamang9 yes, I'm pretty sure it just worked out of the box. I was asking for recommended settings, and I'm not sure what I ended up going with.

[lakpa-tamang9]

Our experiment mainly focused on NeRF generation. You might follow the same instructions as in threestudio to export meshes. But we found that directly exporting mesh from implicit-volume using threestudio does not look well, so a second-stage refinement (e.g. DMTet) might be needed for that.

Hi @seasonSH , Can you please elaborate more on how this could be done?