timzhang642 / 3D-Machine-Learning

A resource repository for 3D machine learning
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New addition? #25

Closed eduard626 closed 6 years ago

eduard626 commented 6 years ago

Hi, Found this in CVPR 2018 PointGrid: A Deep Network for 3D Shape Understanding http://openaccess.thecvf.com/content_cvpr_2018/papers/Le_PointGrid_A_Deep_CVPR_2018_paper.pdf Code: https://github.com/47deg/pointgrid

Volumetric grid is widely used for 3D deep learning due to its regularity. However the use of relatively ower order local approximation functions such as piece-wise constant function (occupancy grid) or piece-wise linear function (distance field) to approximate 3D shape means that it needs a very high-resolution grid to represent finer geometry details, which could be memory and computationally nefficient. In this work, we propose the PointGrid, a 3D convolutional network that incorporates a constant number of points within each grid cell thus allowing the network to learn higher order local approximation functions that could better represent the local geometry shape details. With experiments on popular shape recognition benchmarks, PointGrid demonstrates state-of-the-art performance over existing deep learning methods on both classification and segmentation

timzhang642 commented 6 years ago

Thanks, it's now added! Although I think the code url should be this one: https://github.com/trucleduc/PointGrid