pith:RG3XJSYD
OpenVTON-Bench: A Large-Scale High-Resolution Benchmark for Controllable Virtual Try-On Evaluation
OpenVTON-Bench introduces a 100K-pair dataset and five-dimension protocol that correlates 0.833 with human VTON judgments.
arxiv:2601.22725 v4 · 2026-01-30 · cs.CV · cs.AI
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Record completeness
Claims
Experimental results show strong agreement with human judgments (Kendall's τ of 0.833 vs. 0.611 for SSIM), establishing a robust benchmark for VTON evaluation.
That the VLM-based semantic reasoning combined with the Multi-Scale Representation Metric based on SAM3 segmentation and morphological erosion accurately and without bias measures the five dimensions of VTON quality.
OpenVTON-Bench supplies a large-scale high-resolution dataset and multi-modal protocol for virtual try-on evaluation that correlates more strongly with human judgments than standard metrics like SSIM.
Formal links
Receipt and verification
| First computed | 2026-06-11T01:09:27.885897Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89b774cb03ebe80230badf18f34288c6babfc0f8e865260e41a78a016e131469
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RG3XJSYD5PUAEMF234MPGQUIY2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 89b774cb03ebe80230badf18f34288c6babfc0f8e865260e41a78a016e131469
Canonical record JSON
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