Cycle-consistent inverse GAN for text-to-image synthesis

Cycle-consistent inverse GAN for text-to-image synthesis

This paper investigates an open research task of text-to-image synthesis for automatically generating or manipulating images from text descriptions. Prevailing methods mainly take the textual descriptions as the conditional input for the GAN generation, and need to train different models for the tex...

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Bibliographic Details
Main Authors: Wang, Hao, Lin, Guosheng, Hoi, Steven C. H., Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Text-to-Image Synthesis
Cycle consistency
Online Access:https://hdl.handle.net/10356/156034

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