Text2LIVE: Text-Driven Layered Image and Video Editing
We present a method for zero-shot, text-driven editing of natural images and videos. Given an image or a video and a text prompt, our goal is to edit the appearance of existing objects (e.g., texture) or augment the scene with visual effects (e.g., smoke, fire) in a semantic manner. We train a gener...
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Published in | Computer Vision - ECCV 2022 Vol. 13675; pp. 707 - 723 |
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Main Authors | , , , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer
2022
Springer Nature Switzerland |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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