Point cloud diffusion for 3D model synthesis. Contribute to openai/point-e development by creating an account on GitHub.
我们利用最新的3D高斯喷洒表示来解决现有缺点,通过利用明确的特性来实现对3D先验的整合。具体而言,我们的方法采用渐进优化策略,包括几何优化阶段和外观细化阶段。在几何优化中,我们在3D几何先验和普通的2D SDS损失的基础上建立了一个粗糙的表示,确保了合理和3D一致的粗糙形状。随后,通过迭代细化获得的高斯函数来丰富细节...
Denoising diffusion models (DDMs) have shown promising results in 3D point cloud synthesis. To advance 3D DDMs and make them useful for digital artists, we require (i) high generation quality, (ii) flexibility for manipulation and applications such as conditional synthesis and shape interpolation, ...
We present a probabilistic model for point cloud generation, which is critical for various 3D vision tasks such as shape completion, upsampling, synthesis and data augmentation. Inspired by the diffusion process in non-equilibrium thermodynamics, we view points in point clouds as particles in a ther...
our model achieves competitive performance in pointcloud generation and auto-encoding. The code is availableat https://github.com/luost26/diffusion-point-cloud.1. IntroductionWith recent advances in depth sensing and laser scan-ning, point clouds have attracted increasing attention as apopular ...
DSPDet3D: Dynamic Spatial Pruning for 3D Small Object Detection [det; PyTorch] General Geometry-aware Weakly Supervised 3D Object Detection [det; PyTorch] SegPoint: Segment Any Point Cloud via Large Language Model [seg] Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models ...
The researchers then created a new method for point cloud diffusion by representing the point cloud as a tensor of a shape. These tensors are then whittled down from a random shape to the shape of the required 3D object through progressive denoising. The output from this diffusion model is ...
* 题目: Risk-optimized Outlier Removal for Robust Point Cloud Classification* PDF: arxiv.org/abs/2307.1087* 作者: Xinke Li,Junchi Lu* 题目: SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval* PDF: arxiv.org/abs/2307.1060* 作者: ...
[CVPR] PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction. [code] [Reconstruction] [CVPR] Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions. [code] [Upsampling] [CVPR] Density-Insensitive Unsupervised Domain Adaption ...
A point cloud is a set of data points in space. The points represent a 3D shape or object. Each point has its set of X, Y and Z coordinates. Here are 54 public repositories matching this topic... Language: All Sort: Most stars QingyongHu / SoTA-Point-Cloud Star 1.6k Code ...