2 papers
cs.CV2024
GazeGen: Gaze-Driven User Interaction for Visual Content Generation
He-Yen Hsieh, Ziyun Li, Sai Qian Zhang +5
We present GazeGen, a user interaction system that generates visual content (images and videos) for locations indicated by the user's eye gaze. GazeGen allows intuitive manipulatio…
cs.CV2024
Gen4Gen: Generative Data Pipeline for Generative Multi-Concept Composition
Chun-Hsiao Yeh, Ta-Ying Cheng, He-Yen Hsieh +6
Recent text-to-image diffusion models are able to learn and synthesize images containing novel, personalized concepts (e.g., their own pets or specific items) with just a few examp…