WebIn this work, we propose a novel technique to generate shapes from point cloud data. A point cloud can be viewed as samples from a distribution of 3D points whose density is concentrated near the surface of the shape. Point cloud generation thus amounts to … WebGuandao Yang (杨关道) I'm a Computer Science PhD student at Cornell University, advised by Serge Belongie and Bharath Hariharan . My research interests include Computer Vision, Machine Learning, and Computer Graphics. Currently, my research focuses on geometry processing with deep learning. In my spare time, I like traditional rock climbing ...
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WebFeb 4, 2024 · GitHub Gist: star and fork odie2630463's gists by creating an account on GitHub. GitHub Gist: star and fork odie2630463's gists by creating an account on GitHub. ... View shapeGF_test_label. This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an ... WebShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations. It covers 55 common object categories with about 51,300 unique 3D models. The 12 object categories of PASCAL 3D+, a popular computer vision 3D benchmark dataset, are all covered by ShapeNetCore. car buffer argos
Learning Gradient Fields for Shape Generation
WebOur model directly predicts the gradient of the log density field and can be trained with a simple objective adapted from score-based generative models. We show that our method can reach state-of-the-art performance for point cloud auto-encoding and generation, while also allowing for extraction of a high-quality implicit surface. WebAug 14, 2024 · In this work, we propose a novel technique to generate shapes from point cloud data. A point cloud can be viewed as samples from a distribution of 3D points whose density is concentrated near the surface of the shape. Point cloud generation thus … WebIn this work, we propose a novel technique to generate shapes from point cloud data. A point cloud can be viewed as samples from a distribution of 3D points whose density is concentrated near the surface of the shape. Point cloud generation thus amounts to moving randomly sampled points to high-density areas. We generate point clouds by performing … brodart location