Xu Ma's repositories
Open-Set-Recognition
Open Set Recognition
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
deepbedmap
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
Diagrams
Diagrams in paper
FR-Loss-on-Mnist
Face Recognition Loss on Mnist, Pytorch implementation
GDANet
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. (AAAI2021)
Im2Vec
[CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision
MANet
Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
PAConv
(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
PCT_Pytorch
Pytorch implementation of PCT: Point Cloud Transformer
Point-Clouds-Transformer
Learning Deep Point Clouds Representation with Transformer
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
RandLA-Net-pytorch
RandLA-Net's implementation with Pytorch
RandLA-Net-pytorch-1
:four_leaf_clover: Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)
Self-Supervised-photo
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
sphereface_pytorch
A PyTorch Implementation of SphereFace.
torch-points3d
Pytorch framework for doing deep learning on point clouds.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch