vtddggg/BilinearGAN_for_LBIE
The implementation of our paper: Bilinear Representation for Language-Based Image Editing using Conditional Generative Adversarial Networks (ICASSP2019)
This project helps researchers and practitioners in computer vision edit images using text descriptions. You provide an existing image and a text prompt (like 'change the bird's beak to yellow'), and it outputs a new image reflecting that change. It is primarily used by AI/ML researchers, visual content creators, or those working on image manipulation tasks.
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Use this if you need to precisely alter visual elements within an image based on natural language instructions.
Not ideal if you are looking for a simple, out-of-the-box application for everyday photo editing without any coding.
Stars
25
Forks
7
Language
Python
License
MIT
Category
Last pushed
Feb 01, 2022
Commits (30d)
0
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