我们提出了Point-UV扩散,一种从粗到细的管道,它将去噪扩散模型与UV映射相结合,在UV外空间中生成三维一致和高质量的纹理图像。我们首先引入一个点扩散模型来合成低频纹理组件与我们的定制的风格指导,以解决偏置的颜色分布。所导出的粗纹理提供了全局一致性,并作为后续UV线扩散阶段的条件,有助于将模型正则化,生成三维...
3D Model Texture Generation Utilizing Stable Diffusion ControlNet And Maya SpaceAI1024 414 0 SD直出建筑渲染效果图 SpaceAI1024 170 0 StableDiffusion国风建筑 SpaceAI1024 138 0 一秒打通PS+SD!AI功能免费“平替”,还支持ControlNet?Auto Stable Diffusion Photoshop插件教程,释放轻薄本AI潜力 Nenly同学 13....
Soft matter in hard confinement: phase transition thermodynamics, structure, texture, diffusion and flow in nanoporous media - topical review 来自 arXiv.org 喜欢 0 阅读量: 97 作者: P Huber 摘要: Spatial confinement in nanoporous media affects the structure, thermodynamics and mobility of molecular ...
Much work has been done in the field of texture analysis and classification. While promising classification methods have been proposed, most of them rely on classical image analysis approaches. This paper presents a texture classification method based on diffusion in directed networks. First, an ...
手工质感的漫画风格 | 最开始的想法是,能不能把贞本义行的风格用stablediffusion弄出来? 众所周知,模型若要追求一种风格,最好的方法是直接上素材集训练,但本人懒狗一条,向来图方便直接融合画风相似的模型,最终,花了很多时间,没有理想结果,退而求其次靠一大堆提示词得到了一个自己还比较喜欢的风格。
Learning Diffusion Texture Priors for Image Restoration Tian Ye1 Sixiang Chen1 Wenhao Chai2 Zhaohu Xing1 Jing Qin3 Ge Lin1,4 Lei Zhu1,4* 1 The Hong Kong University of Science and Technology (Guangzhou) 2 University of Washington 3 The Hong Kong Polytechnic University 4 The Ho...
The Promise and Perils of Near-Regular Texture ∗ Motivated by the low structural fidelity for near-regular textures in current texture synthesis algorithms, we propose and implement an alternative texture synthesis method for near-regular texture. We view such textures as statistical d... Y Liu...
(LFSR) task as a referenced diffusion process and explore how to embed pixelwise constraint into the popular diffusion model (DM). Following this motivation, we propose the first diffusion -based LFSR method named texture consistency diffusion model (TCDM) for remote sensing images. Specifically, ...
DreamTexture.js 基于 Three.js 和稳定扩散(stable diffusion) AI 模型开发,用于实现 3D 模型的自动纹理化。DreamTexture.js的当前版本为1.0,主要文件及目录组织结构如下: 2、DreamTexture.js 开发包快速上手 以ESM 库为例介绍如何使用 DreamTexture.js 开发包为 Three.js 应用增加 3D 模型的自动化纹理能力。
gradientenhancement;PartialDifferentialEquationsDiffusion(PDED);line-typetexture图像去噪是图像处理领域中的一个重要分支,在工业检测、跟踪定位等多方面都有很强的应用需求。在图像去噪过程中一般需要进行平滑处理,而整体的平滑经常会破坏图像的边缘纹理信息,给后续的...