Abstract: A system for size and fitting recommendation for fashion products is provided. The system includes a memory having computer readable instructions stored therein. The system further includes a processor configured to access purchase and content data of one or more fashion products purchased by a plurality of users. The processor is configured to generate an observable feature vector for each of the one or more fashion products. The observable feature vector is generated based upon observable features data corresponding to each of the one or more fashion product. The processor is further configured to aggregate the observable feature vectors of the fashion products purchased by each user to compute an observable user vector for the respective user. In addition, the processor is further configured to generate a latent feature vector for each of the one or more fashion products. The latent feature vector is generated based upon latent features data corresponding to each fashion product.

Abstract: A system for generating three-dimensional (3D) objects from two-dimensional (2D) images of garments is presented. The system includes a data module configured to receive a 2D image of a selected garment and a target 3D model. The system further includes a computer vision model configured to generate a UV map of the 2D image of the selected garment. The system moreover includes a training module configured to train the computer vision model based on a plurality of 2D training images and a plurality of ground truth (GT) panels for a plurality of 3D training models. The system furthermore includes a 3D object generator configured to generate a 3D object corresponding to the selected garment based on the UV map generated by a trained computer vision model and the target 3D model. A related method is also presented.

Abstract: A design system for creating a new design by combining two or more input designs is provided. The design system comprises a design selection module configured to select two or more input designs based on a plurality of parameters. The design system further comprises a design computing module coupled to the design selection module and configured to compute one or more number design elements for each input design and compute a plurality of split points for each design elements. The design system further includes a design generation module configured to selectively combine design elements from different input designs to generate a new design.

Abstract: A system and method for predicting sellability of a fashion product is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access one or more catalogue images of a fashion product. The processor is configured to determine a plurality of visual attributes of the fashion product. The processor is further configured to determine a plurality of non-visual attributes corresponding to the fashion product. In addition, the processor is configured to estimate a first sellability confidence value for the reference fashion style using a deep learning model. The first sellability confidence value is estimated based upon the visual attributes. Further, the processor is configured to estimate a second sellability confidence value for the reference fashion style using a non-visual parameter model. The second sellability confidence value is estimated based upon the non-visual attributes.

Abstract: Systems and method for enhancing user experience by using augmented reality are presented. A system includes an image receiver configured to receive an image of a target object and a marker, and a processor including a marker identifier, a marker adjustment module, a virtual object retriever, and a renderer. The marker identifier is configured to identify a unique marker ID and real-time spatial attributes of the marker. The marker adjustment module is configured to apply a correcting algorithm to real-time spatial attributes of the marker to determine adjusted spatial attributes of the marker. The virtual object retriever is configured to retrieve a virtual object associated with the target object based on the unique marker ID. The renderer is configured to render the virtual object based on the adjusted spatial attributes of the marker. The adjusted spatial attributes compensate for any jitter experienced during rendering of the virtual object.

Abstract: A generative system includes a memory having computer readable instructions stored therein. The system further includes a processor configured to access a plurality of fashion images of a plurality of fashion products. The processor is configured to train a generative model using the plurality of fashion images of the fashion products. The processor is further configured to estimate latent vectors corresponding to the plurality of fashion images via the generative model. Furthermore, the processor is configured to transform the latent vectors to generate one or more transformed fashion images via the generative model. The one or more transformed fashion images are generated using characteristics of the plurality of fashion images. Moreover, the processor further configured to create one or more fashion products based upon the generated transformed fashion images.

Abstract: A discrete wavelet transform (DWT) based generative system for generating images of fashion products is provided. The system includes a memory having computer-readable instructions stored therein. The system includes a processor configured to access a plurality of fashion images of a plurality of fashion products. Each fashion image is generated at a first resolution. The processor is configured to train one or more DWT based generative models using the plurality of fashion images of the fashion products. Each of the generative models is selectively trained using a directional fashion image. The directional fashion image includes details of the fashion products corresponding to a pre-determined orientation and scale. The processor is further configured to generate an upsampled fashion image corresponding to each of the fashion images. Each upsampled fashion image is generated at a second resolution.

Abstract: An image processing system and method for determining one or more attributes of a fashion apparel is provided. The system includes a pattern template. The pattern template further includes a plurality of patterns and the fashion apparel is positioned on top of the patterned template. The system further includes an imaging device configured to capture an image of the fashion apparel positioned on top of the pattern template. In addition, the system includes a size and color determination module coupled to the imaging sensor and configured to receive the image and extract a size and a color of the fashion apparel by using the plurality of patterns in the pattern template.

Abstract: A system for dynamic substitution of a user query adapted for use in an online fashion platform is provided. The system includes a query retrieval module configured to retrieve the user query from the online fashion platform. The user query is provided by a user and the user query has one or more query attributes. The system also includes a session data module configured to store session data collected over a plurality of sessions on the online fashion platform. The system further includes an analytics module coupled with the session data module and the query retrieval module and is configured to analyze the user query to identify and extract a query object and one or more query attributes. The analytics module is configured to compute a popularity score for each query attribute. The popularity score is a function of the number of times an article related to the product attribute was searched.

Abstract: A system and method for determining color variants of a fashion product is provided. A system for determining a color variant of a fashion product is provided. The system comprises a categorization module configured to receive a plurality of images corresponding to a plurality of fashion products and configured to categorize the plurality of images into a plurality of styles. The system further includes a color variant determination module configured to compute a plurality of embeddings for the corresponding plurality of images, compute a mean value for the plurality of embeddings and compare each embedding to one or more predefined constraints to determine whether the embedding belongs to a color variant set.

Abstract: A system and method for extraction of design elements of a fashion product is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access a catalogue image of a fashion product. In addition, the processor is configured to segment the catalogue image of the fashion product to determine an article of interest of the fashion product. The processor is further configured to generate an outer contour of the article of interest using a contour tracing technique. Moreover, the processor is configured to analyze coordinates of the generated contour based upon convexity defects of the contour to identify one or more design points. Furthermore, the processor is configured to extract one or more design elements of the fashion product using the identified design points.

Abstract: A system of an e-commerce platform for providing a plurality of services to a plurality of users is provided. The e-commerce platform includes a user account module configured to enable a user to create a unique user account and login to an e-commerce platform. The e-commerce platform also includes a service listing module configured to present a plurality of products to the user. In addition, the e-commerce platform includes a virtual shopping cart configured to enable the user to save one or more products for purchase. The products are purchased by using an external online payment module. Further, the system of the e-commerce platform includes a tagging module configured to enable the user to tag each product with a unique identifier. The product is tagged after it has been purchased by the user. In addition, the user account module is configured to generate a plurality of user profiles based on the tags provided by the user. The plurality of user profiles are linked to the unique user account.

Abstract: A system for dynamic substitution of a user query adapted for use in an online fashion platform is provided. The system includes a query retrieval module configured to retrieve the user query from the online fashion platform. The user query is provided by a user and the user query has one or more query attributes. The system also includes a session data module configured to store session data collected over a plurality of sessions on the online fashion platform. The system further includes an analytics module coupled with the session data module and the query retrieval module and is configured to analyze the user query to identify and extract a query object and one or more query attributes. The analytics module is configured to compute a popularity score for each query attribute. The popularity score is a function of the number of times an article related to the product attribute was searched.

Abstract: A system and method for predicting sellability of a fashion product is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access one or more catalogue images of a fashion product. The processor is configured to determine a plurality of visual attributes of the fashion product. The processor is further configured to determine a plurality of non-visual attributes corresponding to the fashion product. In addition, the processor is configured to estimate a first sellability confidence value for the reference fashion style using a deep learning model. The first sellability confidence value is estimated based upon the visual attributes. Further, the processor is configured to estimate a second sellability confidence value for the reference fashion style using a non-visual parameter model. The second sellability confidence value is estimated based upon the non-visual attributes.

Abstract: An image processing system and method for determining one or more attributes of a fashion apparel is provided. The system includes a pattern template. The pattern template further includes a plurality of patterns and the fashion apparel is positioned on top of the patterned template. The system further includes an imaging device configured to capture an image of the fashion apparel positioned on top of the pattern template. In addition, the system includes a size and color determination module coupled to the imaging sensor and configured to receive the image and extract a size and a color of the fashion apparel by using the plurality of patterns in the pattern template.

Abstract: A system and method for extraction of design elements of a fashion product is provided. The system includes a memory having computer-readable instructions stored therein. The system further includes a processor configured to access a catalogue image of a fashion product. In addition, the processor is configured to segment the catalogue image of the fashion product to determine an article of interest of the fashion product. The processor is further configured to generate an outer contour of the article of interest using a contour tracing technique. Moreover, the processor is configured to analyze coordinates of the generated contour based upon convexity defects of the contour to identify one or more design points. Furthermore, the processor is configured to extract one or more design elements of the fashion product using the identified design points.

Abstract: A system and method for determining color variants of a fashion product is provided. A system for determining a color variant of a fashion product is provided. The system comprises a categorization module configured to receive a plurality of images corresponding to a plurality of fashion products and configured to categorize the plurality of images into a plurality of styles. The system further includes a color variant determination module configured to compute a plurality of embeddings for the corresponding plurality of images, compute a mean value for the plurality of embeddings and compare each embedding to one or more predefined constraints to determine whether the embedding belongs to a color variant set.

Abstract: A system for generating an optimum price for a plurality of commodities is provided. The system includes an insight module configured to enumerate a plurality of components that contribute to the pricing model. The insight module comprises of a need state discovery module, a demand learning module and a prediction module. The need state discovery module is configured to identify a subset of the one and more commodities with a plurality of features. The demand learning module is configured to generate a demand sensitivity for the subset plurality of commodities and the prediction module is configured to generate a demand forecast for the subset plurality of commodities. The system includes a simulation optimizer configured to generate a plurality of pricing models for each commodity in the subset. Each pricing model is computed based on a unique combination of price attributes.