MFECLIP: CLIP With Mapping-Fusion Embedding for Text-Guided Image Editing
Author:
Affiliation:
1. College of Automation and College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing, China
2. School of Computer Science, Wuhan University, Wuhan, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
1311 Talent Program of Nanjing University of Posts and Telecommunications
Postgraduate Research and Practice Innovation Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10380231/10356776.pdf?arnumber=10356776
Reference42 articles.
1. GAN（Generative Adversarial Nets）
2. Dynamically Optimized Human Eyes-to-Face Generation via Attribute Vocabulary
3. Laplacian Pyramid Generative Adversarial Network for Infrared and Visible Image Fusion
4. Searching Towards Class-Aware Generators for Conditional Generative Adversarial Networks
5. DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis
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