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Multi-Concept Customization of Text-to-Image Diffusion

  • Published:2023-06 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • language:
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Author:

Kumari Nupur1,Zhang Bingliang2,Zhang Richard3,Shechtman Eli3,Zhu Jun-Yan1

Affiliation:

1. Carnegie Mellon University

2. Tsinghua University

3. Adobe Research

Publisher

IEEE

Reference87 articles.

1. Nice: Non-linear independent components estimation;dinh;ICLR Workshop,0

2. High-Resolution Image Synthesis with Latent Diffusion Models

3. Don't stop learning: Towards continual learning for the clip model;ding;ArXiv Preprint,2022

4. Generative adver-sarial text to image synthesis;reed;International Conference on Machine Learning (ICML),0

5. Taming Transformers for High-Resolution Image Synthesis

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1. From text to mask: Localizing entities using the attention of text-to-image diffusion models;Neurocomputing;2024-12

2. A comprehensive survey for generative data augmentation;Neurocomputing;2024-10

3. Create Your World: Lifelong Text-to-Image Diffusion;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

4. Creating High-quality 3D Content by Bridging the Gap Between Text-to-2D and Text-to-3D Generation;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-28

5. Slot-VTON: subject-driven diffusion-based virtual try-on with slot attention;The Visual Computer;2024-08-23
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