LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model

arXiv:2403.11929v1 Announce Type: new
Abstract: Despite the success of generating high-quality images given any text prompts by diffusion-based generative models, prior works directly generate the entire images, but cannot provide object-wise manipulation capability. To support wider real applications like professional graphic design and digital artistry, images are frequently created and manipulated in multiple layers to offer greater flexibility and control. Therefore in this paper, we propose a layer-collaborative diffusion model, named LayerDiff, specifically designed for text-guided, multi-layered, composable image synthesis. …

abstract applications arxiv capability collaborative cs.cv design diffusion diffusion model digital generate generative generative models image images layer manipulation object prior professional prompts quality success support synthesis text type via wise