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Name: Alexander.Kang
Type: User
Company: The University of Melbourne, KU Leuven University
Bio: Geeker, Engineer, Inventor
Location: Melbourne, Australia
Name: Alexander.Kang
Type: User
Company: The University of Melbourne, KU Leuven University
Bio: Geeker, Engineer, Inventor
Location: Melbourne, Australia
Code for 3D-LLM: Injecting the 3D World into Large Language Models
A resource repository for 3D machine learning
Local text-driven editing of 3D shapes with Cascaded Score Distillation
This project is established as part of my master thesis work, it is to create a spherical scanning with 2D Lidar and rotating axis controlled by stepper motor
This repository is established as part of master thesis work. The 3D mapping is done with 2 2D lidar sensors and imu, one lidar used for 2D localization, the other for mapping, imu for heading estimation
[CVPR2020] Learning multiview 3D point cloud registration
Example for scene segmentation using blender
[CVPR 2024 Highlight] Official repository for the paper "3DGStream: On-the-fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos".
Text-to-3D Generation within 5 Minutes
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)
Code of the paper: 6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model
ACE0 is a learning-based structure-from-motion approach that estimates camera parameters of sets of images by learning a multi-view consistent, implicit scene representation.
Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN
Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
Artificial Life simulations
Official implementation for the paper: "Consistent Diffusion Meets Tweedie"
Code to accompany "A Method for Animating Children's Drawings of the Human Figure"
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
this is the
For depth estimation from focal stack task
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Paper list for equivariant neural network
A comprehensive list of Implicit Representations and NeRF papers relating to SLAM/Robotics domain, including papers, video, codes, and related websites
A curated list of awesome neural radiance fields papers
All NeRF-related papers at CVPR/ICCV/ECCV/NIPS/ICML/ICLR
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.