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cs.CV2024
Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers
Joshua Nathaniel Williams, Avi Schwarzschild, Yutong He +1
Recovering natural language prompts for image generation models, solely based on the generated images is a difficult discrete optimization problem. In this work, we present the fir…
cs.CV2023★ 4 cited
Universal Guidance for Diffusion Models
Arpit Bansal, Hong-Min Chu, Avi Schwarzschild +4
Typical diffusion models are trained to accept a particular form of conditioning, most commonly text, and cannot be conditioned on other modalities without retraining. In this work…