Name: Zhaoyang Lv
Type: User
Company: Meta Reality Lab Research
Bio: Research Scientist, Facebook Reality Lab. Ph.D. in Robotics, Georgia Tech. Currently interested in CV and ML research that can enable future AR.
Location: Santa Clara, California
Blog: lvzhaoyang.github.io
Zhaoyang Lv's Projects
A curated list of awesome computer vision resources
Babylon.js: a complete JavaScript framework for building 3D games with HTML 5 and WebGL
Caffe: a fast open framework for deep learning.
A nonlinear least-squares minimizer
Let us control diffusion models!
Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Structured Edge Detection Toolbox
Real-time dense visual SLAM system
Cmake built library for EpicFlow algorithm
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Pytorch implementation of FlowNet by Dosovitskiy et al.
g2o: A General Framework for Graph Optimization
gSLICr: Real-time super-pixel segmentation
Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering
This is an implementation sketch of the KinectFusion system described by Newcombe et al.
Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch
LSD-SLAM
Training and Evaluation Code for Neural Volumes
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
Open Source Computer Vision Library
Repository for OpenCV's extra modules
A Versatile and Accurate Monocular SLAM
Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
Real-time scene flow algorithm for RGB-D cameras
Pyramid Stereo Matching Network (CVPR2018)
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)