Fashion meets computer vision: A survey
Fashion is the way we present ourselves to the world and has become one of the world's
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
largest industries. Fashion, mainly conveyed by vision, has thus attracted much attention …
AI assisted fashion design: A review
This review explores the integration of enhanced personalization and seamless multimodal
interfaces in the field of fashion design and recommendation. We examine the increasing …
interfaces in the field of fashion design and recommendation. We examine the increasing …
Deepfashion2: A versatile benchmark for detection, pose estimation, segmentation and re-identification of clothing images
Understanding fashion images has been advanced by benchmarks with rich annotations
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …
such as DeepFashion, whose labels include clothing categories, landmarks, and consumer …
Viton: An image-based virtual try-on network
We present an image-based VIirtual Try-On Network (VITON) without using 3D information
in any form, which seamlessly transfers a desired clothing item onto the corresponding …
in any form, which seamlessly transfers a desired clothing item onto the corresponding …
Deepfashion: Powering robust clothes recognition and retrieval with rich annotations
Recent advances in clothes recognition have been driven by the construction of clothes
datasets. Existing datasets are limited in the amount of annotations and are difficult to cope …
datasets. Existing datasets are limited in the amount of annotations and are difficult to cope …
Learning feature pyramids for human pose estimation
Articulated human pose estimation is a fundamental yet challenging task in computer vision.
The difficulty is particularly pronounced in scale variations of human body parts when …
The difficulty is particularly pronounced in scale variations of human body parts when …
Learning fashion compatibility with bidirectional lstms
The ubiquity of online fashion shop** demands effective recommendation services for
customers. In this paper, we study two types of fashion recommendation:(i) suggesting an …
customers. In this paper, we study two types of fashion recommendation:(i) suggesting an …
Attentive fashion grammar network for fashion landmark detection and clothing category classification
This paper proposes a knowledge-guided fashion network to solve the problem of visual
fashion analysis, eg, fashion landmark localization and clothing category classification. The …
fashion analysis, eg, fashion landmark localization and clothing category classification. The …
Diversified visual attention networks for fine-grained object classification
Fine-grained object classification attracts increasing attention in multimedia applications.
However, it is a quite challenging problem due to the subtle interclass difference and large …
However, it is a quite challenging problem due to the subtle interclass difference and large …
Fashion iq: A new dataset towards retrieving images by natural language feedback
Conversational interfaces for the detail-oriented retail fashion domain are more natural,
expressive, and user friendly than classical keyword-based search interfaces. In this paper …
expressive, and user friendly than classical keyword-based search interfaces. In this paper …