Directed Diffusion: Direct Control of Object Placement through Attention Guidance

التفاصيل البيبلوغرافية
العنوان: Directed Diffusion: Direct Control of Object Placement through Attention Guidance
المؤلفون: Ma, Wan-Duo Kurt, Lewis, J. P., Lahiri, Avisek, Leung, Thomas, Kleijn, W. Bastiaan
سنة النشر: 2023
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics, Computer Science - Machine Learning
الوصف: Text-guided diffusion models such as DALLE-2, Imagen, eDiff-I, and Stable Diffusion are able to generate an effectively endless variety of images given only a short text prompt describing the desired image content. In many cases the images are of very high quality. However, these models often struggle to compose scenes containing several key objects such as characters in specified positional relationships. The missing capability to ``direct'' the placement of characters and objects both within and across images is crucial in storytelling, as recognized in the literature on film and animation theory. In this work, we take a particularly straightforward approach to providing the needed direction. Drawing on the observation that the cross-attention maps for prompt words reflect the spatial layout of objects denoted by those words, we introduce an optimization objective that produces ``activation'' at desired positions in these cross-attention maps. The resulting approach is a step toward generalizing the applicability of text-guided diffusion models beyond single images to collections of related images, as in storybooks. Directed Diffusion provides easy high-level positional control over multiple objects, while making use of an existing pre-trained model and maintaining a coherent blend between the positioned objects and the background. Moreover, it requires only a few lines to implement.
Comment: Our project page: https://hohonu-vicml.github.io/DirectedDiffusion.Page
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2302.13153
رقم الأكسشن: edsarx.2302.13153
قاعدة البيانات: arXiv