Visual Style
Style and content are two separate factors of an image. While most previous computer vision research has been focused on visual content (e.g., recognizing object categories), there is an increasing interest in understanding and manipulating visual style. At SE(3), we are mainly interested in two different but related domains: 1) Artistic style, and 2) Clothing style.
Works
- Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Gatys et al. recently introduced a neural algorithm that renders a content image in the style of another image, achieving so-called style transfer. However, their framework requires a slow iterative optimization process, which limits its practical application. Fast approximations with feed-forward neural networks have been proposed to speed up neural style transfer. Unfortunately, the speed ... - Style Finder: Fine-Grained Clothing Style Recognition and Retrieval
With the rapid proliferation of smartphones and tablet computers, search has moved beyond text to other modalities like images and voice. For many applications like Fashion, visual search offers a compelling interface that can capture stylistic visual elements beyond color and pattern that cannot be as easily described using text. However, extracting and matching such ... - Conditional Similarity Networks
What makes images similar? To measure the similarity between images, they are typically embedded in a featurevector space, in which their distance preserve the relative dissimilarity. However, when learning such similarity embeddings the simplifying assumption is commonly made that images are only compared to one unique measure of similarity. A main reason for this is ... - Learning Visual Clothing Style with Heterogeneous Dyads
‘What outfit goes well with this pair of shoes?’ To answer this type of questions, one has to go beyond learning visual similarity and learn a visual notion of compatibility across categories. In this paper, we propose a novel learning framework to help answer this type of questions.
Paper
Abstract
With the rapid proliferation of smart mobile devices, ...
