Paper Track

Topics Covered

Topics of the papers include but are not limited to:

• Clothing landmark estimation: predicting landmarks for each detected clothing item in fashion images.
• Style recommendation: suggests fashion articles or outfits which complement the style of a particular article or according to the customer’s preference.
• Cross-domain visual search: robust visual search between different domains, such as street-style photos, catalogue images and art/design sketches.
• Visual size and fit advice: automatically provide generic or personalized visual size and fit advice to assist the customers in their purchase journey.
• Virtual try-on/wardrobe: projects fashion articles onto humans/avatars in order to visualize the style and fit of an outfit, generative models for 3D.
• Body Shape Prediction: infer customers body shape or measurements based on single or multiple images, as well as RGB-D data
• Automatic article tagging: automatically tag articles with visual features which enables fast inventory logging.
• Trend analysis and forecast: automated visual style discovery and trend analysis and forecast from social media data with weak supervision.
• Personal shopping assistant: multi-modal interaction between the customer and an intelligent agent which aims to assist the shopper’s experience, such as style discovery and accurate product search.
• Efficient fashion search: retrieves images of fashion items that match the online shopper’s query (the query itself can take many forms).
• Fashion analysis from videos: efficient fashion outfits parsing and retrieval in videos.
• Novel methods for visual content generation: including new theoretical insights, new techniques for visual content generation, including images, sketches, videos, 3D content, etc.
• New evaluation metrics: objective metrics used to compare image generation algorithms on the quality and aesthetic value of generated content.
• Design with humans in the loop: generative design algorithms which aim to explore systems that can augment human’s creative process, with new approaches to human algorithm interaction.
• Novel applications: novel applications of image generation that can potentially bring value to the creative domains, such as art, fashion and design.