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Evaluation protocol

This document defines the public OVOW-Bench evaluator behavior. Changes that affect any item below should update the protocol configuration and release version.

Inputs

For every selected sample_id, the evaluator requires one GT scene and one scene from every requested method. Supported scene files are scene.blend, scene.glb, and scene.gltf.

The dataset is supplied separately with --data_root. That directory must contain gt/<sample_id>/scene.* and <model_name>/<sample_id>/scene.*.

The track manifest is the source of truth for sample selection. A row can set geometry_frame_mode explicitly. Otherwise a numeric frame becomes exact:<frame>; rows without either field use default_frame_mode.

Geometry alignment

The release default is bbox alignment with ground_policy=exclude. Alternative modes are exposed for ablations but must be reported when used:

  • identity: no alignment;
  • bbox: uniform scale and center translation from scene bounding boxes;
  • object_bbox: scale and translation anchored by the best first-frame object match;
  • depth_bbox: depth-median scale with bounding-box translation;
  • depth_camera: first-camera canonicalization and depth-median scale.

The evaluator stores the applied 4x4 transform for every sample and method.

Geometry metrics

Scene-IoU compares the union scene boxes under AABB and OBB representations.

Object matching is solved with the Hungarian algorithm using pairwise AABB IoU as the assignment score. AABB and OBB IoU are then reported for the matched pairs. Missing and extra objects are penalized with denominator max(gt_object_count, pred_object_count).

Rendered metrics

After geometry alignment, GT and prediction scenes are rendered with the GT camera. Public defaults are 768x432 resolution, 32 render samples, and the render engine specified in configs/release_protocol.json.

  • PL = 100 * mean((RGB_gt / 255 - RGB_pred / 255)^2).
  • N-CLIP = 10 * mean(1 - cosine(CLIP(pred), CLIP(gt))).

The CLIP encoder is openai/clip-vit-base-patch32 by default. Features are L2 normalized before cosine similarity. Both metrics are lower-is-better.

Aggregation and failures

The public evaluator uses an arithmetic mean over the selected sample rows. All requested methods must cover the same selected rows. Missing geometry, failed samples, or missing reports cause a non-zero exit by default.

--allow_partial exists only for debugging. Partial summaries include explicit coverage and missing-pair records and are marked complete: false.

Cache validity

A cached sample report is reused only when its fingerprint matches the current model list, frame mode, alignment, ground policy, Blender/CLIP arguments, render settings, and input-scene size and modification time.