VUEMODEL

VueModel uses a class of AI machine learning frameworks called Generative Adversarial Networks (GAN) to create realistic images of products on models.

Retailers can choose from a wide variety of real and 3D models, in different sizes and ethnicities, from Vue.ai’s model library.

Using AI, VueModel can predict the size and shape of a product. With a single input image, it can display products on models of different shapes and sizes.

Products that come in multiple colour options need not be shot individually. The tool is capable of generating output product images in different colours from a single image of the product in any colour.

VueModel can showcase products and models against many different types of backgrounds - to match any retailer’s brand language or vendor’s design guidelines.

VueModel supports hundreds of different poses for both real and 3D models - in front, back, and side views.

The system accepts most types of input product images - including mannequin shots, ghost mannequin shots, and 3D designs.

The AI enables retailers and shoppers to mix and match products, curate their own outfits, and view them on different models - without having to shoot them together.

The product offers the retailers an efficient way to make their shoppers visualize the outfit however they want - whether it is tucking in a top, seeing the model in a certain pose, or in front of a custom background, without having to conduct separate photoshoots for every possible look combinations.

The tool’s dashboard streamlines the end to end delivery process starting from uploading assets to tracking them through to completion and review, while also offering some key dressing room insights like most selected models, outfit styles, engagement rate, and assisted conversion rate.