Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models-Reference-Cited by-同舟云学术

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Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models

Published:2023-10-01 Issue: Volume:34 Page:7396-7406
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Dong Wenkai¹,Xue Song¹,Duan Xiaoyue¹,Han Shumin¹

Affiliation:

1. Baidu VIS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377418.pdf?arnumber=10377418

Reference61 articles.

1. Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

2. CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions

3. Blended Diffusion for Text-driven Editing of Natural Images

4. MaskGIT: Masked Generative Image Transformer

5. Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Text-to-Image Models for Counterfactual Explanations: a Black-Box Approach;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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