Exciting news in the world of AI and image editing: Drag Your GAN, a groundbreaking research, was just ! introduced by Pan et al. This new approach allows you to alter images by simply dragging points from A to B, revolutionizing the way we interact with image editing. This isn’t just editing, but actually the creation of completely new images, allowing you to change object positions, subject poses, and more. Drag Your GAN prioritizes precise object dragging over image generation or text manipulation The AI realistically adapts the entire image, modifying the object's position, pose, shape, expressions, and other frame elements. 🐶🌄 Edit expressions of dogs, make them sit, adjust human poses, or even alter landscapes seamlessly. Drag Your GAN offers an innovative and interactive way to experiment with image editing. How does it work? Drag Your Gan leverages StyleGAN2, a state-of-the-art architecture by NVIDIA. By operating in the feature space (latent code), the AI learns how to edit images properly through a series of steps and loss calculations. GAN Even though the results are fantastic, as you will see below, it's essential to note that Drag Your Gan has some limitations, including only being able to edit generated images for now. Images are part of the distribution. Other limitations are that the selection of points is based on pixel colors and contrast, so you cannot really drag anything. If you take a part of a red car and move it staying on the red car, it might not understand that you move it at all. Can't wait to try it out? The authors mention that the code should be available in June. Tune in to the video to learn more about this new image manipulation style with DragYourGan! Learn More by Watching the Video and Skip to Any Portion You’d Like Via the Transcript https://youtu.be/r1mh-IqBEjg?embedable=true&transcript=true

Hot off the press! This story contains factual information about a recent event.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

The best videos on the Internet archived and shared on HackerNoon.

Watch more on YouTube: https://www.youtube.com/c/WhatsAI

I explain Artificial Intelligence terms and news to non-experts.

2021 - HackerNoon Contributor of the Year - FACEBOOK

2022 - Best Data Science Newsletter

2022 - HackerNoon Contributor of the Year - Artificial Intelligence

2022 - HackerNoon Contributor of the Year - Computer Vision

2022 - HackerNoon Contributor of the Year - Data Science

2022 - HackerNoon Contributor of the Year - Google

Introducing Drag Your GAN: Drag Objects to Create New Images

Too Long; Didn't Read

Louis Bouchard

STORY’S CREDIBILITY

News

Opinion piece / Thought Leadership

Video

About Author

TOPICS

Languages

THIS ARTICLE WAS FEATURED IN...