A physics-driven try-on that turns garment design and fit into a science. Digital patterns are paired with millimetre-precise 3D body data from VRC's scanners — not a surface composite, but a true simulation of garment dimensions and fabric behaviour, pinpointing where the fit is tight and exactly where the hem falls.
衣服の設計からフィット感までを科学する、物理シミュレーション型試着。 衣服のデジタルパターン（型紙）データと、VRCの3Dスキャナで取得したミリ単位の正確な3Dボディデータを掛け合わせ、 単なる「見た目の合成」ではなく、衣服の寸法や生地の物理特性を仮想空間上で再現し、 「どこがきついか」「丈はどこまで来るか」といった物理的な着装状態を厳密にシミュレーションします。
また、この技術はエンドユーザー向けの購買支援にとどまらず、アパレルブランドや素材メーカー向けの「服のデザイン・設計支援（R&D）」としても強力なソリューションを提供します。
Faithful to the user's or mannequin's body measurements, and viewable from any angle — a full 360° fitting image.
A heat map of where the garment concentrates pressure on the body — underarms, under bust, waist, inner thigh. Product development driven by data, not intuition.
Change part of the pattern — width, armhole, neckline depth, elastic placement — and see at once how the garment drapes and folds differently in 3D.
デザイン支援シミュレーション — 「誰にとって快適な服か」をデータで証明する
Slim, fuller, broad-shouldered, heavier at the hips, even maternity forms — the same design can be fitted onto a wide range of 3D body types to be compared side by side.
Which body types find this design most comfortable — and which ones feel constrained? Statistical and visual validation gives product managers a clear basis for "who is this garment for," refining the lineup with purpose.
Beyond basic standing poses — raising arms, bending, crouching, walking, dressing and undressing, sitting, rolling over in bed — all can be simulated.
Identify where fabric pulls and where pressure bunches up during motion. Product promises like "comfortable even when moving" or "low stress on dressing" become backed by objective data.
In the future, differences in compression and breathability — the heat build-up and stuffiness — can be overlaid as a body-temperature map, combining physical and thermal stress into a single holistic evaluation.
What 3D Virtual Try-On needs
A representative body-type library from VRC's database, or the user's own precise 3D body scan.
Digitized garment patterns from apparel CAD software (such as CLO3D) plus fabric physical-property (material) settings.
Cloud or local compute capable of running physics simulations.
Load the brand's garment pattern data (CLO3D-compatible format, etc.) into the system and configure sewing specs and fabric properties.
Load one or more representative 3D body types — or an individual's data — aligned with the target wearer.
Dress each body model in the virtual garment and run a physics simulation with basic poses and specific motions (arm-raise, seated, and so on).
Output a 360° fitting image plus the pressure map. Compare patterns A / B / C to contrast pressure differences across body types, validate the design, and generate a report.
To simulate every one of the thousands to tens of thousands of products on an EC site, 3D CAD data must be created for each — an enormous investment of time and cost.
The rigorous physics simulation is compute-heavy — not suited to real-time BtoC experiences where a shopper flips through dozens of garments on a phone. Its strength lies in the brand's R&D and design phase, and in validating specific high-value items.