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PartTrellis wild test assets — Sketchfab & GitHub

Evaluation assets from two sources that do not feed the PartTrellis fine-tuning corpus: 5,867 Sketchfab objects and 6,134 GitHub objects (12,001 total). Both went through the same curation used for the paper's generalization split: multi-part structure with clear part semantics, non-trivial materials, single connected component filtering, and automatic rejection of artificial cuts, unassembled scenes, scans, and single-part objects (18,016 candidates → 14,642 passing the structural filter → 12,001 after final QC).

Layout

shards/sketchfab_000.tar … sketchfab_005.tar
shards/github_000.tar    … github_006.tar
lists/final_sketchfab_sfgh.txt   # object ids, one per line
lists/final_github_sfgh.txt

Each shard holds ~1,000 objects with, per object:

<source>/<oid>/mesh.glb                  # original textured mesh, materials embedded
cond/<source>/<oid>/renders_cond_pbr/    # PBR-rendered conditioning views + transforms.json

The conditioning renders are the exact images the PartTrellis evaluation feeds every method (frames[0] of transforms.json is the view used).

Use with PartTrellis

Checkpoints and code: https://huggingface.co/AuroraRyan/PartTrellis

Meshes are used as-is after rigid normalization (centering, unit cube, Z-up); the O-Voxel representation is field-free, so no watertighting or remeshing is ever applied.

Licensing

The index and packaging are released for research use. Every mesh remains under the license of its original Sketchfab or GitHub distribution; check the source asset before any non-research use.

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