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Garment Attribute Manipulation with Multi-level Attention

arXiv 2409.10206 ↗First posted 16 Sep 2024cs.CVcited by 0

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Abstract (arXiv)

In the rapidly evolving field of online fashion shopping, the need for more personalized and interactive image retrieval systems has become paramount. Existing methods often struggle with precisely manipulating specific garment attributes without inadvertently affecting others. To address this challenge, we propose GAMMA (Garment Attribute Manipulation with Multi-level Attention), a novel framework that integrates attribute-disentangled representations with a multi-stage attention-based architecture. GAMMA enables targeted manipulation of fashion image attributes, allowing users to refine their searches with high accuracy. By leveraging a dual-encoder Transformer and memory block, our model achieves state-of-the-art performance on popular datasets like Shopping100k and DeepFashion.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 18 of its 38 references that are in the map. First posted on arXiv 16 Sep 2024.

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References · 18

  1. 2016Layer Normalizationcited by 5,579
  2. 2021CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classificationcited by 806
  3. 2016Generative Visual Manipulation on the Natural Image Manifoldcited by 348
  4. 2017VITON: An Image-based Virtual Try-on Networkcited by 285
  5. 2021Scaling Local Self-Attention for Parameter Efficient Visual Backbonescited by 220
  6. 2022Dress Code: High-Resolution Multi-Category Virtual Try-Oncited by 161
  7. 2019DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Imagescited by 132
  8. 2020A Decade Survey of Content Based Image Retrieval using Deep Learningcited by 72
  9. 2017Learning Fashion Compatibility with Bidirectional LSTMscited by 69
  10. 2023Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editingcited by 62
  11. 2016Multi-task CNN Model for Attribute Predictioncited by 21
  12. 2020Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Networkcited by 16
6 more
  1. 2020MMFashion: An Open-Source Toolbox for Visual Fashion Analysiscited by 8
  2. 2020Garment Recommendation with Memory Augmented Neural Networkscited by 6
  3. 2024Multimodal-Conditioned Latent Diffusion Models for Fashion Image Editingcited by 5
  4. 2022Fashion Recommendation Based on Style and Social Eventscited by 3
  5. 2022Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrievalcited by 3
  6. 2023Transformer-based Graph Neural Networks for Outfit Generationcited by 3

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