/
occluder.py
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/
occluder.py
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"""
3D Occluder Experiments. These are baseline comparisons.
"""
from dataclasses import dataclass, field
from nerfiller.experiments.base import Inpaint, Train, Render, Metrics
from nerfiller.utils.typing import *
from nerfiller.experiments.data import occluder_dataset_names
inpaint_methods = [
"individual-sd-image",
"individual-lama",
]
methods = [
("nerfacto-nerfiller-visualize", "none"),
("nerfacto-nerfiller", "none"), # this must be trained first, as the following depend on it
("individual-inpaint-once", "individual-sd-image"),
("individual-inpaint-once", "individual-lama"),
("grid-prior-du-no-depth", "none"),
("grid-prior-du", "none"),
("individual-inpaint-du", "none"),
("grid-prior-du-random-noise", "none"), # this is extra for an ablation
]
@dataclass
class InpaintOccluder(Inpaint):
"""Inpaint Nerfstudio datasets."""
dataset_names: List[str] = field(default_factory=lambda: occluder_dataset_names)
inpaint_methods: List[str] = field(default_factory=lambda: inpaint_methods)
@dataclass
class TrainOccluder(Train):
"""Train the baselines and our method."""
dataset_names: List[str] = field(default_factory=lambda: occluder_dataset_names)
methods: List[str] = field(default_factory=lambda: methods)
@dataclass
class RenderOccluder(Render):
"""Render the baselines and our method."""
dataset_names: List[str] = field(default_factory=lambda: occluder_dataset_names)
methods: List[str] = field(default_factory=lambda: methods)
@dataclass
class MetricsOccluder(Metrics):
"""Compute metrics on the baselines."""
dataset_names: List[str] = field(default_factory=lambda: occluder_dataset_names)
methods: List[str] = field(default_factory=lambda: methods)