MishMash hackathon is India’s largest online diversity hackathon. The focus will be to give you, regardless of your background, gender, sexual orientation, ethnicity, age, skill sets and viewpoints, an opportunity to showcase your talent. The Hackathon is Live from 6:00 PM, 23rd March to 11:55 PM, 1st April, 2020
ℹ️ Automatic 3D gameplay asset generation from single 2D Image
You can select any one theme from - XR / Mobility / FinTech/ Deep Tech or Machine Learning / Ed-Tech / Social Impact
Mobility, FinTech and Ed-Tech are Open Innovation Themes
XR has 3 sub-categories that you can choose from:- Epidemic, Urban, Remake
Deep Tech or Machine Learning is sponsored by UNILEVER and has 3 Problem Statements. If you pick this theme, you need to declare which problem statement you are going to work on
Social Impact has only 1 Problem Statement - So, if you pick this theme you just need to select this Theme and say you will work on the Problem Statement in the Idea Brief Field
Project Name: 3Defy
Short Project Description: Automatic 3D gameplay asset generation from single 2D Image
Azure Services Used- Azure Storage, Azure ML Services.
🔥 Your Pitch
The idea is to - Automatic creation of Interactive 3D Unity Assets of each segmented object(ex- Human face, human body, furniture, TV, Car, pets, etc) from a live camera clicked 2D image using Deep Learning.
Currently, a team of designers takes hours and days end of toll to create one 3 asset, image this getting done I and under a minute's of time. This platform, 3Defy thus has holds the potential to change the whole methodology of the gaming industry and not just alone that(more on that below). Automating the most crucial and one of the most time taking part of an US$18.4 billion industry loosely has the potential to create a business of at least US $1 Billion, I say this with gusto because this is what automation has being doing, it sweeps in and makes a homerun of changing the whole industry pattern.
Another usage in the gaming industry is the automatic customised 3D character creation using 3Defy! Many popular games such as PUBG, COD, FIFA and others support character creation with the mindset of producing a character that the player can relate to and this is done through the tedious and sometimes frustrating task of choosing out of different hair, eye and skin combination(not to state that the player ends up resembling more link a Russian mobster than anything else :p).
Further and the highest potential use case of 3Defy can only be imagined in this situation - we all do online shopping, for shoes for clothes, for appliances, what we are presented with is a 2D image or sometimes a 360* view of the product, what we are not shown is how does this product suits us. Imagine buying a shoe online, had to guess from just a couple of 2D images right? It is for me, how does 3Defy come into play? 3Defy takes the image and converts into a 3D model with the front, top, side and back surfaces in hand, with the integration of Augmented Reality, all there is left to do is point and visualize. Here we have a US $10 Billion industry (with same extrapolation as earlier explained).
Bow down to Deep Learning :)
🔦 Any other specific thing you want to highlight?
Request to the judges - Before testing the Android application, kindly contact me on dhruvrathi15@gmail.com/9868904222 for the application server name that is asked when the app is opened(it is dynamic), for now it is - f8183edb
Sorry for the inconvenience caused! But the result will be fun for you and worth the effort I believe :)
✅ Checklist
Before you post the issue:
[x] You have followed the issue title format.
[x] You have mentioned the correct labels.
[x] You have provided all the information correctly.
ℹ️ Automatic 3D gameplay asset generation from single 2D Image
Project Name: 3Defy
Short Project Description: Automatic 3D gameplay asset generation from single 2D Image
Team Name: Maverick
Team Members: @dhruv2601
Demo Link: Android app link (Please ask developer for the backend Token code before testing the app (it keeps changing)) - https://drive.google.com/open?id=1Rk-NWVcX0T7bdiCY17w9Qr2HQqomSsfN Short Demo Video - https://drive.google.com/open?id=1z8u1Zpt-eSUsBZxS357AScT7gxU__06Q
Repository Link(s): https://github.com/dhruv2601/MishMash-1
Presentation Link: https://drive.google.com/open?id=1Bk9hRWpvnCH9dOszNnwo9tQ4lgRKEU3P
Azure Services Used- Azure Storage, Azure ML Services.
🔥 Your Pitch
The idea is to - Automatic creation of Interactive 3D Unity Assets of each segmented object(ex- Human face, human body, furniture, TV, Car, pets, etc) from a live camera clicked 2D image using Deep Learning. Currently, a team of designers takes hours and days end of toll to create one 3 asset, image this getting done I and under a minute's of time. This platform, 3Defy thus has holds the potential to change the whole methodology of the gaming industry and not just alone that(more on that below). Automating the most crucial and one of the most time taking part of an US$18.4 billion industry loosely has the potential to create a business of at least US $1 Billion, I say this with gusto because this is what automation has being doing, it sweeps in and makes a homerun of changing the whole industry pattern. Another usage in the gaming industry is the automatic customised 3D character creation using 3Defy! Many popular games such as PUBG, COD, FIFA and others support character creation with the mindset of producing a character that the player can relate to and this is done through the tedious and sometimes frustrating task of choosing out of different hair, eye and skin combination(not to state that the player ends up resembling more link a Russian mobster than anything else :p). Further and the highest potential use case of 3Defy can only be imagined in this situation - we all do online shopping, for shoes for clothes, for appliances, what we are presented with is a 2D image or sometimes a 360* view of the product, what we are not shown is how does this product suits us. Imagine buying a shoe online, had to guess from just a couple of 2D images right? It is for me, how does 3Defy come into play? 3Defy takes the image and converts into a 3D model with the front, top, side and back surfaces in hand, with the integration of Augmented Reality, all there is left to do is point and visualize. Here we have a US $10 Billion industry (with same extrapolation as earlier explained).
Bow down to Deep Learning :)
🔦 Any other specific thing you want to highlight?
Request to the judges - Before testing the Android application, kindly contact me on dhruvrathi15@gmail.com/9868904222 for the application server name that is asked when the app is opened(it is dynamic), for now it is - f8183edb Sorry for the inconvenience caused! But the result will be fun for you and worth the effort I believe :)
✅ Checklist
Before you post the issue: