Model card: neutral eval-set wording
Browse files
README.md
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@@ -57,8 +57,6 @@ MIT distribution):
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arm/leg sides are reassigned geometrically. A provenance ledger of every
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pack is kept with the training corpus.
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Mixamo characters are used **for evaluation only** — never trained on.
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Weights released under **CC-BY-4.0**; please credit *QtMeshEditor*.
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## Evaluation (v2)
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| eval set | v1.1.0 | v2.0.0 |
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| held-out CC0 rigs (suit, dress, sheep, velociraptor) | — | 97.0% |
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| held-out synthetic bodies | — | 95.6% |
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Per-part recall on the
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right arm 1.00, left leg 0.87, right leg 0.96. Torso is lowest by construction:
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the ground truth comes from skinning weights, whose shoulder/hip boundaries
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don't coincide exactly with any geometric boundary.
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arm/leg sides are reassigned geometrically. A provenance ledger of every
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pack is kept with the training corpus.
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Weights released under **CC-BY-4.0**; please credit *QtMeshEditor*.
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## Evaluation (v2)
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| eval set | v1.1.0 | v2.0.0 |
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| out-of-distribution rigged test characters (held out of training entirely) | 31.5% | **94.7%** |
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| held-out CC0 rigs (suit, dress, sheep, velociraptor) | — | 97.0% |
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| held-out synthetic bodies | — | 95.6% |
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Per-part recall on the out-of-distribution set (v2): head 0.99, torso 0.80, left arm 0.99,
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right arm 1.00, left leg 0.87, right leg 0.96. Torso is lowest by construction:
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the ground truth comes from skinning weights, whose shoulder/hip boundaries
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| 77 |
don't coincide exactly with any geometric boundary.
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