Reducing flicker artifacts for nerfacto method (#750)

* pose opt default nerfacto.

* added SO3 cam pose optimization which is slightly faster (~2.2m/iter) than BARF

* added occupancy grid with placeholder until nerfacc is updated to query density from it

* added occupancy grid sampling as the level 0 in proposal hierarchy, relies on nerfacc 0.1.7 (on pypi)

* merge main

* merge main

* minor changes to sampling

* adjusted sample number

* refactor occ grid stuff, settle on decent params

* nograd proposal sampling

* param tweaks

* varying resolution proposal networks

* params

* merged main

* optimizer update

* remove occ grid

* remove double nerfacto samples

* set single jitter to true

* remove pdb

* more changes

* fix method defaults

* fix pylint

* remove occupancy fn

Co-authored-by: akristoffersen <akristoffersen@berkeley.edu>
Co-authored-by: Justin Kerr <justin.g.kerr@gmail.com>

scripts/render.py

@@ -106,8 +106,6 @@ class RenderTrajectory:
     output_path: Path = Path("renders/output.mp4")
     # How long the video should be.
     seconds: float = 5.0
-    # A hack to double the number of samples for the nerfacto method.
-    double_nerfacto_nerf_samples: bool = True
     # Specifies number of rays per chunk during eval.
     eval_num_rays_per_chunk: Optional[int] = None
 
@@ -115,7 +113,6 @@ class RenderTrajectory:
         """Main function."""
         _, pipeline, _ = eval_setup(
             self.load_config,
-            double_nerfacto_nerf_samples=self.double_nerfacto_nerf_samples,
             eval_num_rays_per_chunk=self.eval_num_rays_per_chunk,
         )