Computational technologies for fashion recommendation: A survey
Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …
attracted considerable interest in the computer vision, multimedia, and information retrieval …
Learning attribute-driven disentangled representations for interactive fashion retrieval
Interactive retrieval for online fashion shopping provides the ability of changing image
retrieval results according to the user feedback. One common problem in interactive retrieval …
retrieval results according to the user feedback. One common problem in interactive retrieval …
Coutfitgan: learning to synthesize compatible outfits supervised by silhouette masks and fashion styles
D Zhou, H Zhang, Q Li, J Ma… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
How to recommend outfits has gained considerable attention in both academia and industry
in recent years. Many studies have been carried out regarding fashion compatibility …
in recent years. Many studies have been carried out regarding fashion compatibility …
[HTML][HTML] Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning
A novel technology named fashion intelligence system, which quantifies ambiguous
expressions unique to fashion, such as “casual,”“adult-casual,” and “office-casual,” was …
expressions unique to fashion, such as “casual,”“adult-casual,” and “office-casual,” was …
Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding
A novel technology named fashion intelligence system has been proposed to quantify
ambiguous expressions unique to fashion, such as" casual,"" adult-casual," and" office …
ambiguous expressions unique to fashion, such as" casual,"" adult-casual," and" office …
Explaining cross-domain recognition with interpretable deep classifier
The recent advances in deep learning predominantly construct models in their internal
representations, and it is opaque to explain the rationale behind and decisions to human …
representations, and it is opaque to explain the rationale behind and decisions to human …
Self-Adaptive Clothing Mapping Based Virtual Try-on
C Shen, Z Liu, X Gao, Z Feng, M Song - ACM Transactions on Multimedia …, 2023 - dl.acm.org
VTON (Virtual Try-ON), as an innovative visual application in e-commerce scenarios with
great commercial value, has been widely studied in recent years. Due to its better …
great commercial value, has been widely studied in recent years. Due to its better …
Disunknown: Distilling unknown factors for disentanglement learning
Disentangling data into interpretable and independent factors is critical for controllable
generation tasks. With the availability of labeled data, supervision can help enforce the …
generation tasks. With the availability of labeled data, supervision can help enforce the …
Neural stylist: Towards online styling service
Online stylist service enjoys huge economic potentials due to the trend of transformation of
the fashion industry to digitalisation. Existing works either predict the fashion compatibility …
the fashion industry to digitalisation. Existing works either predict the fashion compatibility …
Lost Your Style? Navigating with Semantic-Level Approach for Text-to-Outfit Retrieval
Fashion stylists have historically bridged the gap between consumers' desires and perfect
outfits, which involve intricate combinations of colors, patterns, and materials. Although …
outfits, which involve intricate combinations of colors, patterns, and materials. Although …