PointDenoisingBenchmark

홈페이지 · 논문 1편

The PointDenoisingBenchmark dataset features 28 different shapes, split into 18 training shapes and 10 test shapes. * PointDenoisingBenchmark for outliers removal: contains noisy point clouds with different levels of gaussian noise and the corresponding clean ground truths. * PointDenoisingBenchmark for denoising: contains noisy point clouds with different levels of noise and density of outliers and the corresponding clean ground truths. Source: [PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds](/paper/pointcleannet-learning-to-denoise-and-remove)