Results 181 to 190 of about 52,447,906 (198)

Text-Guided Human Image Manipulation via Image-Text Shared Space

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Text is a new way to guide human image manipulation. Albeit natural and flexible, text usually suffers from inaccuracy in spatial description, ambiguity in the description of appearance, and incompleteness. We in this paper address these issues.
Jiaya JIA, Xiaogang Xu, Ying-Cong Chen
exaly   +2 more sources

ManiGAN: Text-Guided Image Manipulation [PDF]

open access: yes, 2020
The goal of our paper is to semantically edit parts of an image matching a given text that describes desired attributes (e.g., texture, colour, and background), while preserving other contents that are irrelevant to the text.
Xiaojuan Qi   +2 more
exaly   +2 more sources

Prompt Augmentation for Self-supervised Text-guided Image Manipulation

open access: yes
Text-guided image editing finds applications in various creative and practical fields. While recent studies in image generation have advanced the field, they often struggle with the dual challenges of coherent image transformation and context ...
Kim, Tae-Kyun   +2 more
exaly   +1 more source
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TolerantGAN: Text-Guided Image Manipulation Tolerant to Real-World Image

IEEE Open Journal of Signal Processing, 2023
Takahiro Ogawa, Keisuke Maeda, Ren Togo
exaly  

Language-Based Image Manipulation Built on Language-Guided Ranking

IEEE Transactions on Multimedia, 2023
Jun Cheng, Fuxiang Wu, Hao Fusheng
exaly  

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