Implement BiRefNet and HAT Sharper models with background removal capabilities

- Added validation documentation for AI model tiers.
- Introduced `background.py` for background removal logic, including inference functions for alpha and foreground extraction.
- Created `onnx_birefnet.py` to handle BiRefNet model sessions and alpha inference.
- Developed tests for background models, ensuring proper dispatch and session reuse.
- Added tests for BiRefNet ONNX model to validate alpha output and error handling for invalid values.
- Implemented model export scripts for BiRefNet and HAT Sharper, ensuring proper weight compression and licensing.
- Created `deform_sampling.py` for deformable convolution operations used in BiRefNet.
- Added utility functions for compressing ONNX weights without altering graph arithmetic.
- Introduced a reference plane node for depth field adjustments in geometry processing.

src/anyimage/operators/convert_to_plane/operators.py

@@ -1,7 +1,7 @@
 import bpy
 
-from ...preferences import addon_preferences, configured_max_ai_input_size
-from ...properties import DEFAULT_MOGE2_MODEL_KEY
+from ...preferences import addon_preferences, configured_max_ai_input_size, configured_geometry_model
+from ...server.model_catalog import DEFAULT_GEOMETRY_MODEL_KEY
 from ...runtime import JobOperatorBase
 from ...server.media.resolution import (
     DEFAULT_MAX_AI_INPUT_SIZE,
@@ -37,7 +37,7 @@ _HIDDEN = {"HIDDEN", "SKIP_SAVE"}
 def depth_plane_settings(context):
     preferences = addon_preferences(context)
     return (
-        getattr(preferences, "geometry_model", DEFAULT_MOGE2_MODEL_KEY),
+        configured_geometry_model(context),
         int(getattr(preferences, "geometry_resolution_level", 5)),
     )
 
@@ -59,7 +59,7 @@ class GenerateDepthPlane(JobOperatorBase, bpy.types.Operator):
         options=_HIDDEN,
     )
     mesh_detail: bpy.props.IntProperty(default=6, min=0, max=10, options=_HIDDEN)
-    model: bpy.props.StringProperty(default=DEFAULT_MOGE2_MODEL_KEY, options=_HIDDEN)
+    model: bpy.props.StringProperty(default=DEFAULT_GEOMETRY_MODEL_KEY, options=_HIDDEN)
     resolution_level: bpy.props.IntProperty(default=5, min=0, max=9, options=_HIDDEN)
     max_input_size: bpy.props.IntProperty(
         default=DEFAULT_MAX_AI_INPUT_SIZE,