Paper Key : IRJ************985
Author: Dr. Brinthakumari S.,Nupur Luhar,Vedant Wani,Ayush Mhatre,Gayatri Gawande
Date Published: 20 Mar 2025
Abstract
This paper presents GANify, an interactive image editing framework leveraging Generative Adversarial Networks (GANs). Users can manipulate images by selecting and dragging points to desired positions, enabling fine-grained control over attributes like pose, shape, and expression across various object categories. GANify integrates motion supervision for precise transformations and point tracking to maintain accuracy. Operating within the GAN manifold ensures realistic edits, even in complex scenarios. Additionally, GANify supports real-image editing via GAN inversion. Experimental results show its superior flexibility and precision over existing methods, making it a powerful tool for interactive image manipulation.KeywordsGenerative Adversarial Networks (GANs), Image Editing, Motion Supervision, Point Tracking, GAN Inversion.
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