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basnet icon basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

draco icon draco

Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

eforest icon eforest

This is the official implementation for the paper 'AutoEncoder by Forest'

kitti360scripts icon kitti360scripts

This repository contains utility scripts for the KITTI-360 dataset.

learningtocompare_fsl icon learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

lidar-semantic-segmentation icon lidar-semantic-segmentation

Semantic segmentation of LIDAR point clouds from the KITTI-360 dataset using a modified PointNet2. This is a Python and PyTorch based implementation using Jupyter Notebooks.

mpeg-pcc-tmc2 icon mpeg-pcc-tmc2

Video codec based point cloud compression (V-PCC) test model

pcgcv1 icon pcgcv1

Point Cloud Geometry Compression

pointasnl icon pointasnl

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling (CVPR 2020)

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet12 icon pointnet12

Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset

pointnet2 icon pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

pointrcnn icon pointrcnn

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

vq-vae-2-pytorch icon vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

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