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NoiseCollage: A Layout-Aware Text-to-Image Diffusion Model Based on Noise Cropping and Merging
March 7, 2024, 5:45 a.m. | Takahiro Shirakawa, Seiichi Uchida
cs.CV updates on arXiv.org arxiv.org
Abstract: Layout-aware text-to-image generation is a task to generate multi-object images that reflect layout conditions in addition to text conditions. The current layout-aware text-to-image diffusion models still have several issues, including mismatches between the text and layout conditions and quality degradation of generated images. This paper proposes a novel layout-aware text-to-image diffusion model called NoiseCollage to tackle these issues. During the denoising process, NoiseCollage independently estimates noises for individual objects and then crops and merges them …
arxiv cs.cv diffusion diffusion model image image diffusion merging noise text text-to-image type
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