Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions” - linjing7/Diffusion-SDF
11、进一步的,所述s3具体包括: 12、s3-1:前向扩散过程(forward diffusion process)是在训练时使用的过程,它将数据逐步添加高斯噪声,直到最终被完全破坏,变成具有高斯分布的纯噪声。这个过程可以用马尔可夫链表示,每个时间步t都会添加一定量的高斯噪声,直到最终时刻t,原始数据变成纯噪声;给定一个数据样本,正向过程它...
这种新颖的融合通过为真实和虚假SDF值和梯度引入专用鉴别器,解决了高质量三维形状几何生成方面的挑战,从而显著提升了生成形状的视觉质量和几何准确性。LAS-Diffusion重点介绍了一个基于扩散的框架,该框架结合了新颖的视角感知局部注意力机制,强调了三维形状在局部可控性和泛化性方面的改进。该方法有效地利用二维草图图像作为...
LAS-Diffusion重点介绍了一个基于扩散的框架,该框架结合了新颖的视角感知局部注意力机制,强调了三维形状在局部可控性和泛化性方面的改进。该方法有效地利用二维草图图像作为输入,为图像条件的三维形状生成开辟了新途径,能够满足详细规格和艺术愿景。值得注意的是,来自OpenAI的Jun等人提出的Shap-E直接生成隐式函数(SDF和...
We also demonstrate the potential of NovelGS in generative tasks, such as text-to-3D and image-to-3D, by integrating it with existing multiview diffusion models. We will make the code publicly accessible. 3DGS压缩 HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression ...
不用苦等电脑渲染好几个小时,这样高清的 3D 渲染效果,现在英伟达做到了实时实现。 各种复杂样式、比例的外观都能 hold 住,阴影也不在话下。 细节处理上,还远胜前辈高手(橙色为DeepSDF)。 具体如何做到? 其实,同样是基于大名鼎鼎的神经 SDF(有向距离场)——计算机图形学中,常见的一种隐式曲面表示方法。
Investigating Prompt Engineering in Diffusion Models 论文/Paper: http://arxiv.org/pdf/2211.15462 代码/Code: None Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity 论文/Paper: http://arxiv.org/pdf/2211.15436 代码/Code: None ...
Our system takes a stream of RGB-D data and pre-processes it by masking the object of interest as done in [13,32] and optionally de-noising the depth images via anisotropic diffusion [41] or bilateral filtering [39]. The frame bounding volume is automatically estimated by back-projection ...
avatarsdfnerfdiffusionsmpl3dreconstructionimage-to-3dneural-renderingmotion-generationaigchumannerfstable-diffusiontext-to-3dt23dtt3d UpdatedApr 13, 2024 SuiteCloud Software Development Kit (SuiteCloud SDK) are the set of tools that allow you to customize accounts and create SuiteApps through SuiteCloud ...
(Update Mar 4th 2023) When refactoring the code we seemed to introduce some bugs to the diffusion model when training with pytorch lightning, so the third training stage does not work as expected. We recommend simply generating after the second stage, and we will update the repo when we iden...