lizOnly
I want to make an impact in human living, creating cutting-edge technology.
University of ZurichZurich, Switzerland
lizOnly's Stars
idealab-isu/NURBSDiff
Torch layer for NURBS evaluation for a given control points and parametrization
Harry-Zhi/semantic_nerf
The implementation of "In-Place Scene Labelling and Understanding with Implicit Scene Representation" [ICCV 2021].
JonasSchult/Mask3D
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
larc/gproshan
geometry processing and shape analysis framework
cs231n/cs231n.github.io
Public facing notes page
wutong16/Density_aware_Chamfer_Distance
[ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"
POSTECH-CVLab/point-transformer
This is an unofficial implementation of the Point Transformer paper.
fpthink/SPNet
Superpoint Network for Point Cloud Oversegmentation
loicland/superpoint_graph
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
fwilliams/point-cloud-utils
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
fwilliams/deep-geometric-prior
The reference implementaiton for the paper "Deep Geometric Prior for Surface Reconstruction"
Atcold/NYU-DLSP21
NYU Deep Learning Spring 2021
alecjacobson/geometry-processing-curvature
Curvature assignment for Geometry Processing course
hszhao/PointWeb
PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing, CVPR2019.
facebookresearch/SparseConvNet
Submanifold sparse convolutional networks
NVIDIA/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
LiangliangNan/Easy3D
A lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data
wangxiaogang866/PIE-NET
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
Kulbear/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
LiangliangNan/PolyFit
Polygonal Surface Reconstruction from Point Clouds
tensorflow/graphics
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
facebookresearch/DeepSDF
Learning Continuous Signed Distance Functions for Shape Representation
mfranzs/gcal_hierarchical_timetracking
facebookresearch/pytorch3d
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
jdigne/LPF
Implementation of the Local Probing Field paper
charlesq34/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
LiangliangNan/ManhattanModeler
Manhattan-world Urban Reconstruction from Point Clouds
vistalab-technion/cs236605-tutorials