helpResearch questionExploratory Image Retrieval and Generation Control
How does directional disentanglement in generative adversarial networks (GANs) support users' interactive optimization needs?Direction: Creativity, Design, and Generative Making
Exploratory Image Retrieval and Generation Control
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helpResearch questionExploratory Image Retrieval and Generation Control
How can user-driven methods improve disentanglement of GAN editing directions?helpResearch questionExploratory Image Retrieval and Generation Control
How does the GANravel tool combine global and local disentanglement to achieve better directional control?lightbulbPractical problemExploratory Image Retrieval and Generation Control
Ordinary users cannot efficiently control editing directions of GAN-generated images.helpResearch questionExploratory Image Retrieval and Generation Control
How do users discover editing directions in GAN models through the GANzilla interactive system?helpResearch questionExploratory Image Retrieval and Generation Control
How does user-driven direction discovery perform in generative image editing compared with algorithm-driven approaches?helpResearch questionExploratory Image Retrieval and Generation Control
How is user behavior affected by task type (open-ended or closed-ended)?lightbulbPractical problemExploratory Image Retrieval and Generation Control
Lay users struggle to transparently and efficiently control characteristics of GAN-generated images.Related papers
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