Pith Number

pith:M6UJSGU7

pith:2026:M6UJSGU7TBKGJY4KMVI3SPYCZZ

not attested not anchored not stored refs resolved

DirectTryOn: One-Step Virtual Try-On via Straightened Conditional Transport

Jiahui Zhan, Jianfu Zhang, Liqing Zhang, Xianbing Sun

Virtual try-on can reach state-of-the-art quality in one sampling step by straightening the conditional transport path.

arxiv:2605.12939 v1 · 2026-05-13 · cs.CV

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

our method achieves state-of-the-art performance with one-step sampling, establishing a new standard for efficient and high-quality VTON.

C2weakest assumption

VTON outputs are highly constrained by the conditional inputs, suggesting that the conditional sampling trajectory can be much straighter than that in general image generation, making one-step generation a natural solution.

C3one line summary

DirectTryOn achieves state-of-the-art one-step virtual try-on performance by applying pure conditional transport, garment preservation loss, and self-consistency loss to straighten trajectories in pretrained generative models.

References

73 extracted · 73 resolved · 6 Pith anchors

[1] Single stage virtual try-on via deformable attention flows 2022

[2] Viton-hd: High-resolution virtual try-on via misalignment-aware normalization 2021

[3] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

[4] Han, Xintong and Wu, Zuxuan and Wu, Zhe and Yu, Ruichi and Davis, Larry S. , title =. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

[5] Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Receipt and verification

First computed	2026-05-18T03:09:09.759455Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

67a8991a9f985464e38a6551b93f02ce5ebe237d3a9664e4fe0187720874a68c

Aliases

arxiv: 2605.12939 · arxiv_version: 2605.12939v1 · doi: 10.48550/arxiv.2605.12939 · pith_short_12: M6UJSGU7TBKG · pith_short_16: M6UJSGU7TBKGJY4K · pith_short_8: M6UJSGU7

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/M6UJSGU7TBKGJY4KMVI3SPYCZZ \
  | 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: 67a8991a9f985464e38a6551b93f02ce5ebe237d3a9664e4fe0187720874a68c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8b019bd220579e0f2cec7702bcccbd52c08c069a0012215a7871663dced895f1",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T03:18:43Z",
    "title_canon_sha256": "ffa1847e5d06c80792213dd09cfed6a4508e7e4a99d741064b1653a8a3b461ff"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12939",
    "kind": "arxiv",
    "version": 1
  }
}