zbxzc35's repositories
AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
awesome-MIM
Reading list for research topics in Masked Image Modeling
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
ConvNets
research and implementations of CNNs and their applications
DeepDeformation
Character deformation with neural networks
deepsvg
Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
GBDT_LR
广告点击率(CTR)预测经典模型 GBDT + LR 理解与实践（附数据 + 代码）
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
hmr
Project page for End-to-end Recovery of Human Shape and Pose
InpaintNet
Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"
magenta
Magenta: Music and Art Generation with Machine Intelligence
Mesh_Labeler
A GUI program based on vedo and VTK that can annotate mesh models; this project is powered by SOVE Inc.
MeshSegNet
PyTorch version of MeshSegNet for tooth segmentation of intraoral scans (point cloud/mesh). The code also includes visdom for training visualization.
mmdetection
OpenMMLab Detection Toolbox and Benchmark
PyRetri
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
PyTorch-Encoding
A CV toolkit for my papers.
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
SMALify
This repository contains an implementation for performing 3D animal (quadruped) reconstruction from a monocular image or video. The system adapts the pose (limb positions) and shape (animal type/height/weight) parameters for the SMAL deformable quadruped model, as well as camera parameters until the projected SMAL model aligns with 2D keypoints and silhouette segmentations extracted from the input frame(s).
StanfordExtra
12k labelled instances of dogs in-the-wild with 2D keypoint and segmentations. Dataset released with our ECCV 2020 paper: Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop.
vgae_pytorch
This repository implements variational graph auto encoder by Thomas Kipf.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch