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FlexTry-On: A Time-Efficient Framework for Multi-Scenario Virtual Try-on — arXiv:2610.39646

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.39646
License (as archived): CC0-1.0
Archived: 2026-11-01T02:42:05.659Z
SHA-256 of the archived text: 4679c111d8c544f7b275ee8249fe975b0228d7354e9337632b9bd1930ee0fc75
Stable URL of this page: https://metraipolis.com/documento/dc_7ece2a366abe

How to cite

FlexTry-On: A Time-Efficient Framework for Multi-Scenario Virtual Try-on — arXiv:2610.39646 — arXiv (en), https://arxiv.org/abs/2610.39646 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_7ece2a366abe (Metraipolis archive dc_7ece2a366abe, sha256 4679c111d8c544f7b275ee8249fe975b0228d7354e9337632b9bd1930ee0fc75)

BibTeX

@misc{dc7ece2a366abe,
  title = {FlexTry-On: A Time-Efficient Framework for Multi-Scenario Virtual Try-on — arXiv:2610.39646},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.39646},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_7ece2a366abe; sha256 4679c111d8c544f7b275ee8249fe975b0228d7354e9337632b9bd1930ee0fc75},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.39646. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Virtual try-on has achieved remarkable progress in recent years, yet most existing methods are designed for a specific scenario, such as cloth-to-person or person-to-person try-on, and often require separate conditioning strategies and processing pipelines for different settings. We present FlexTry-On, a unified and time-efficient diffusion-based framework for diverse virtual try-on scenarios, including cloth-to-person, person-to-person, cross-domain, and in-the-wild settings. FlexTry-On adopts a common conditioning formulation, where a text-aware condition extraction strategy converts heterogeneous garment sources into a unified representation, and a dual-conditioning diffusion transformer jointly models garment appearance and person identity. Extensive experiments demonstrate competitive performance on both cloth-to-person and person-to-person benchmarks while maintaining fast inference. Moreover, the same framework can be directly applied to unseen cross-domain scenarios without requiring separate architectures or scenario-specific processing pipelines. These results highlight the potential of unified and efficient virtual try-on frameworks as a practical step toward more flexible and widely applicable virtual try-on systems.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2610.39646 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-01T02:16:43.943Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).