yuliangguo Goto Github PK
Name: Yuliang Guo
Type: User
Company: Bosch Center of AI
Bio: Researcher in Computer Vision, 3D Geometry, Embodied AI
Name: Yuliang Guo
Type: User
Company: Bosch Center of AI
Bio: Researcher in Computer Vision, 3D Geometry, Embodied AI
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
The repo for "Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image"
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
Self-contained, minimalistic implementation of diffusion models with Pytorch.
OpenMMLab's next-generation platform for general 3D object detection.
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
[ICCV 2019] Monocular depth estimation from a single image
[NeurIPS'22] MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
A Multi-Stage Approach to Curve Extraction, ECCV 2014
A multi-stage approach to curve extraction
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion
The devkit of the nuScenes dataset.
Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera. This project prepares training and testing data for various deep learning projects such as 6D object pose estimation projects singleshotpose, as well as object detection and instance segmentation projects.
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
[arXiv'23] PanopticNeRF-360 | [3DV'22] Panoptic NeRF
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Pose over Parts Network for Multi-Person 3D Pose Estimation from a Depth Image
Graph Convolutional Networks in PyTorch
a reimplementation of Holistically-Nested Edge Detection in PyTorch
[ECCV 2020] Official PyTorch implementation of 'Gen-LaneNet: a generalized and scalable approach for 3D lane detection'
RoIAlign & crop_and_resize for PyTorch
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
A latent text-to-image diffusion model
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.