Presentation / Installation


Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
SessionNeural Image Generation and Editing
DescriptionIn this work, we present a new way of controlling GANs, that is, to "drag" any points of the image to precisely reach target points in a user-interactive manner, enabling flexible and precise control of the pose, shape, expression, and layout of diverse objects in the image.
Authors
Xingang Pan
Max Planck Institute for Informatics
Saarbrücken Research Center for Visual Computing, Interaction and AI
Ayush Tewari
Massachusetts Institute of Technology (MIT)
Thomas Leimkühler
Max Planck Institute for Informatics
Lingjie Liu
Max Planck Institute for Informatics
University of Pennsylvania
Abhimitra Meka
Google AR/VR
Christian Theobalt
Max Planck Institute for Informatics
Saarbrücken Research Center for Visual Computing, Interaction and AI
Event Type
Technical Paper
TimeThursday, 10 August 20232:44pm - 2:54pm PDT
LocationPetree Hall D
ACM Digital Library Technical Paper PDF
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Thursday, 10 August 20232pm - 3:30pm PDTPetree Hall D
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Video
Registration Categories
FC
FCS
V
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