Fine-grained attribute recognition is critical for fashion understanding, yet missing in existing professional and comprehensive datasets. In this paper, we present a large scale dataset with manual annotation high quality. To end, complex knowledge disassembled into mutually exclusive concepts form hierarchical structure to describe the cognitive process. Such well-structured reflected by terms of its clear definition precise annotation. The problems which are common process annotation,...

Generative Artificial Intelligence (GenAI) has recently gained immense popularity by offering various applications for generating high-quality and aesthetically pleasing content of image, 3D, video data format. The innovative GenAI solutions have shifted paradigms across design-related industries, particularly fashion. In this paper, we explore the incorporation into fashion-related tasks applications. Our examination encompasses a thorough review more than 470 research papers an in-depth...

Clothed human reconstruction is the cornerstone for creating virtual world. To a great extent, quality of recovered avatars decides whether Metaverse passing fad. In this work, we introduce CLOTH4D, clothed dataset containing 1,000 subjects with varied appearances, 3D outfits, and over 100,000 meshes paired unclothed humans, to fill gap in large-scale high-quality 4D clothing data. It enjoys appealing characteristics: 1) Accurate detailed textured meshes-all items are manually created then...

The goal of this paper is to model the fashion compatibility an outfit and provide explanations. We first extract features all attributes items via convolutional neural networks, then train bidirectional Long Short-term Memory (Bi-LSTM) learn by treating these attribute as a sequence. Gradient penalty regularization exploited for training inter-factor net which used compute loss judgment its explanation generated from recognized reasons related judgment. To evaluate proposed approach, we...

Body shape is a crucial factor in outfit recommendation. Previous studies that directly used body measurement data to investigate the relationship between and have achieved limited performance due oversimplified representations. This paper proposes Visual Body-shape-Aware Network (ViBA-Net) improve fashion compatibility model's awareness of human through visual-level information. Specifically, ViBA-Net consists three modules: body-shape embedding module, which extracts visual anthropometric...

Purpose The deficiency of the mapping between fashion color (FoCo) value and linguistic expression causes difficulty machine-based understanding tasks that are heavily associated with matching. purpose this paper is to propose FoCo system construct it four steps, in order bridge gap. Design/methodology/approach distribution HSB space analyzed estimate rough number categories. Similar values grouped obtain initial range for each category. intra-category differences calculated determine their...

We introduce A100 (Aesthetic 100) to assess the aesthetic ability of fashion compatibility models. To date, it is first work address AI model's with detailed characterization based on professional domain knowledge. has several desirable characteristics: 1. Completeness. It covers all types standards in system through two tests, namely LAT (Liberalism Aesthetic Test) and AAT (Academicism Test); 2. Reliability. training data agnostic consistent major indicators. provides a fair objective...

Purpose Efficient and high-accuracy intelligent color material sorting systems are the main bottlenecks restricting recycling of waste textiles. The mixing textiles with different colors will make reconstructed raw textile fiber useless or low quality. In this study, some challenges about automatic for discussed. A computer vision-based system is introduced, which can classify required well meet efficiency requirements an line. Design/methodology/approach There four aspects, (1) two cameras...

In order to overcome the disadvantages of poor portability and insufficient multifunctionality in traditional human health parameter measurement, a portable multi-parameter embedded Electroencephalogram (EEG), Electrocardiogram (ECG) bioelectrical impedance (BEI) measuring system based on BMD101, TGAM module, AD5933, STM32 wireless Bluetooth transmission was designed implemented meet requirements accurate measurement. Experimental results show that has effective stability for continuous...

In this paper, we build an outfit evaluation system which provides feedbacks consisting of a judgment with convincing explanation. The is trained in supervised manner faithfully follows the domain knowledge fashion. We create EVALUATION3 dataset annotated judgment, decisive reason for and all corresponding attributes (e.g. print, silhouette, material \etc.). training process, features are first extracted then concatenated as input intra-factor compatibility net. Then, inter-factor net used...

In this independent report fAshIon after fashion, we examine the development of (artificial intelligence (AI) in fashion) and explore its potentiality to become a major disruptor fashion industry near future. To do this, investigate AI technologies used through several lenses. We summarise studies conducted over past decade categorise them into seven groups: Overview, Evaluation, Basic Tech, Selling, Styling, Design, Buying. The datasets mentioned research have been consolidated on one...

Fashion attribute recognition is a not-new topic, but rather core task in understanding fashion from the perspective of computer vision. This paper proposes structured relation-aware network (sRA-Net), which exploits multiple hidden relations images to enrich and achieve accurate representations boost performance recognition. Specifically, it deconstructs features clothing item into three levels, including low-level attribute-related image region information, mid-level dependency high-level...

This paper describes a new approach aimed at automatic identify events of abandoned and stolen objects detection in video surveillance system. Our method mainly include three steps data processing: the first processing phrase is object extraction, involving background subtraction algorithm which dynamically updates two sets background. Then, extracted are classified as static or dynamic objects. Finally, decision-making model employed to calculate confidence score for classification about...

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Visual text images are prevalent in various applications, requiring careful font selection and typographic choices. Recent advances Diffusion Transformer (DiT)-based text-to-image (T2I) models show promise automating these processes. However, methods still face challenges such as inconsistent fonts, style variation, limited fine-grained control, particularly at the word level. This paper proposes a two-stage DiT-based pipeline to address issues by enhancing controllability over typography...

In this article, we propose StylishGAN, a generative adversarial network that generates fashion illustration sketch given an actual photo of human model. The generated stylish sketches not only capture the image style from real photos to hand drawings with cleaner background, but also adjust model’s body into perfectly proportioned shape. StylishGAN learns proportional transformation and texture information through proposed body-shaping attentional module. Furthermore, introduce contextual...

In order to overcome the disadvantages of poor portability and insufficient multifunctionality in traditional human health parameter measurement, a portable multi-parameter embedded electroencephalogram (EEG), electrocardiogram (ECG), bioelectrical impedance (BEI) measuring system based on chip BMD101, TGAM module, AD5933, STM32, wireless Bluetooth transmission was designed implemented meet requirements accurate measurement. Experimental results show that has effective stability for...