Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis

arXiv:2405.08210v1 Announce Type: new
Abstract: We present Infinite Texture, a method for generating arbitrarily large texture images from a text prompt. Our approach fine-tunes a diffusion model on a single texture, and learns to embed that statistical distribution in the output domain of the model. We seed this fine-tuning process with a sample texture patch, which can be optionally generated from a text-to-image model like DALL-E 2. At generation time, our fine-tuned diffusion model is used through a score aggregation …

abstract arxiv cs.cv diffusion diffusion model distribution domain embed fine-tuning images process prompt resolution seed statistical synthesis text texture type