3D AI Models Hackathon

Hackathon Kick-Off

The founders at NewNative and lablab.ai will introduce participants to our mission and the opportunities you have as a member of the lablab.ai community

NewNative Introduction

Let's go through the Technologies for the Hackathon and how you can learn it.

Technology and Challenge

We will guide you through the website, and Discord community - to make sure you will succeed at the Hackathon

Hackathon Guide

After the Kick-Off stream, focus on finding your team for the Hackathon and start brainstorming your idea!

Team Formation time!

Live Q&A Session with Mentors

Submission Deadline

AdeptusMechanicus

Akash Parua

Aiming to streamline the creation of 3D mesh (.obj) files from a given picture - we first use a object detection model (yolo-v8) to extract each bounding box(region of interests). Then we remove background from each bounding box by using rembg library . Lastly we create a 3d model from the images produced using the shap-e library .
This project can be used by artists / game developers to easily recreate 3d mesh of any object they have seen in a picture . 
Currently , command line app has been created . I plan to deploy a flask app with a Vue.js frontend in the future . 
Libraries used in the project -
shap-e , ultralytics (yolo-v8) and rembg (background removal)

Suppose we have a large picture , and we want to recreate a 3d mesh for a single object inside the picture. This tool allows you to extract objects from the picture , remove the background and create a 3d mesh of the object .

"AdeptusMechanicus team on 3D AI Models Hackathon Hackathon"

Team Idea

Submission