Browse State-of-the-Art › Virtual Try-on

Virtual Try-on

114 papers with code · 9 benchmarks · 11 datasets archive 2025-07-28

Computer Vision

Virtual try-on of clothing or other items such as glasses and makeup. Most recent techniques use Generative Adversarial Networks.

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

9 leaderboard tables shown for this task, 9 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

DatasetBest model (first row in archive order)PaperCodeSyntologyCompare
VITON (10 rows) Flow-Style-VTON Style-Based Global Appearance Flow for Virtual Try-On code Syntology ran 14 of 21 samples · 7 unverified Compare
VITON-HD (5 rows) FItDiT FitDiT: Advancing the Authentic Garment Details for High-fidelity... code Syntology ran 5 of 6 samples · 1 unverified Compare
Deep-Fashion (2 rows) MG-VTON Towards Multi-pose Guided Virtual Try-on Network — — Compare
MPV (2 rows) PF-AFN Parser-Free Virtual Try-on via Distilling Appearance Flows code — Compare
Dress Code (1 row) Leffa Learning Flow Fields in Attention for Controllable Person Image Generation code Syntology ran 0 of 6 samples · 6 unverified Compare
FashionIQ (1 row) mm SwapNet: Garment Transfer in Single View Images code — Compare
Microsoft COCO dataset (1 row) VTON-IT VTON-IT: Virtual Try-On using Image Translation code — Compare
StreetTryOn (1 row) Street TryOn Street TryOn: Learning In-the-Wild Virtual Try-On from Unpaired... code — Compare
UBC Fashion Videos (1 row) Fashion-VDM Fashion-VDM: Video Diffusion Model for Virtual Try-On — — Compare

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

11 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 114 papers with code (276 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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