Shirt specialist Eton uses newly developed material in coats for the first time
Eton, which has been making shirts for nearly three centuries, used its newly developed cashmere-wool blend material in coats for the first time in its Fall/Winter 2026 collection. The material is characterized by its combination of a soft hand feel and a distinct texture, while the collection as a whole was developed around the theme of a study in texture and form.
The material was first used in vests, blazers, and jackets before being extended to coats for the first time this season. The finely refined silhouettes and construction continue the brand’s signature artisanal processes, with details reflecting versatility and durability appearing throughout the products. Each piece demonstrates Eton’s distinctive heritage craftsmanship.
The collection’s color palette is composed of achromatic neutral tones, deep blues, grays, earthy greens, and rich browns, creating a calm and cohesive mood. The material was developed in collaboration with Italian fabric maker Vitale Barberis Canonico, which has operated since 1663, and local knitwear specialists, bringing refined textile expertise and craftsmanship into a modern fall/winter wardrobe.
Source · FashionUnited, "Eton unveils their Fall Winter 2026 collection: A Study in Texture and Form"
Clothing color matching that restores generated-shot garment colors to the original product tone
RealSnap’s Clothes Color Match is a feature for product-detail image managers who need to check color one last time before publishing after creating AI outfit shots. When the garment area in a generated result differs from the actual product color, it uses the original clothing image as the reference and corrects only that area again.
Instead of matching colors through reshoots or retouching, it uses the original product photo as the baseline and attempts automatic correction, reducing the process of manually comparing colors by eye. It is especially useful for brands with many color variations each season or for small sellers with large product counts and limited time for quality checks.


