However, these powerful pretrained models still lack control handles that can guide spatial properties of the synthesized images. In this work, we introduce a universal approach to guide a pretrained text-to-image diffusion model, with a spatial map from another domain (e.g., sketch) during ...
Taking a pretrained Neural Radiance Field as input, multiview sketches determining the coarse region of edit and a text-prompt, our method is able to generate a localized, meaningful edit. Abstract Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the...
Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scene images remains challenging using diffusion models. In this study, we propose a novel sketch-guided scene image generation...
SKED: Sketch-guided Text-based 3D Editing Aryan Mikaeili, Or Perel, Mehdi Safaee, Daniel Cohen-Or, Ali Mahdavi-Amiri Text-to-image diffusion models are gradually introduced into computer graphics, recently enabling the development of Text-to-3D pipelines in an open domain. However, for interac...
SIGGRAPH 2023 Course on Diffusion Models Diffusion models have been successfully used in various applications such as text-to-image generation, 3D assets generation, controllable image editing, vi... C Meng,J Song,S Li,... - 《Acm Siggraph Courses》 被引量: 0发表: 2023年 Is a picture wort...
[NIPS 2023] Official implementation for "DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models" https://arxiv.org/abs/2306.14685 - ximinng/DiffSketcher
Text-to-image models are showcasing the impressive ability to create high-quality and diverse generative images. Nevertheless, the transition from freehand sketches to complex scene images remains challenging using diffusion models. In this study, we propose a novel sketch-guided scene image generation...