Grow Function: Generate 3D Stacked Bifurcating Double Deep Cellular Automata based organisms which differentiate using a Genetic Algorithm...

Related tags

Deep LearningGrowF
Overview

GrowF

Banner

Grow Function: Generate 3D Stacked Bifurcating Double Deep Cellular Automata based organisms which differentiate using a Genetic Algorithm...

TLDR; High Def Living Trees that you can breed, trim and mint as NFTs on Solana, Ethereum, Cardano and other blockchain networks.

This demo represents the current state of the codebase. If anyone wishes to join this project, please contact or fork.

Written in Python using the Blender Library

Current state of development https://www.youtube.com/watch?v=BUarQzuhj1c

Installation

  • Install Blender if you don't already have it
  • Open treegen.blend

Once opened, you can generate whatever tree is currently there by default by going to the scripting tab, opening tree.py and pressing the Run button

The Metaverse Needs Trees

Let's Face it, it's hard to model trees that are realistic in any 3D modeling platform. Much less, make them lowpoly or high poly, or ready for video games or kinematics and physics. But if you think about it, it's hard to make believable trees because trees are grown, not sculpted by nature. They the results of a bunch of growth patterns that came together to form what we categorize as trees or even any type of plant. The bifurcation structure of a tree is everywhere. You needen't go as far as looking at the human nervous system, or in the structure of folders in your computer, to see that same tree organization. Imagine having a tree that you can plant on top of a structure like a stone sculpture in VR and watch it's roots eating through the walls and stone in hyper-real time. Imagine breeding trees to be a specific color or give a specific type of fruit, or growing them in zero gravity. Imagine planting a garden and watching your plants and trees grow together over time and generations.

We Have the Technology

Recent developments in the fields of Cellular Automata and Genetic Algorithms have led to the possibility of growing living organisms in higher dimensions. Many projects like Lenia, The Life Engine and even VR games like Playne, and Inward have made a big deal of living organisms in games and tech culture. These living organisms can behave like bacteria, like larger soft-bodied oganisms, or like Trees. On a scientific level, there exist virtual living ecosystems of over 500,000 plants in simulations like the ones seen in the paper "Synthetic Silviculture: Multi-Scale Modeling of Plant Ecosystems". These large or multi-scale simulations are focused on larger scale simulations, creating realistic, yet estimated details, (albeit through rigorous scientific analysis to approximate reality).

But that begs the question, how high definition can one go in creating growing 3D systems? Can cell differentiation be accquired by genetic algorithm in new and spontaneous ways which account for ecosystem? This project aims to advance toward answering those questions, starting with what we think will end up being hi-res tree models, but could end up as anything.

I think it's possible to go to infinite resolution by making a growth protocol that is forward compatible, so that the computers of the future which operate on orders of magnitude of higher parallelism can show the same tree you minted in 2022, in much higher detail.

The Blockchain? Why?

Well, trees, and other living virtual organisms can be owned. The 3D Models of their life progression can be included in games using Non-Fungible Tokens (NFTs). If you can own any unique digital item, why not own a tree that you have bred, or trimmed, or simply that you found in a VR game somewhere. Think about trimming, or when trees bear fruits that have specific properties or visual peculiarities. Each branch of the tree can be removed, the fruits or leaves, (or whatever ends up growing on a bifurcation) can be separated from the tree, recorded as removed in the tree's history (affecting it's model forever). Just like with real trees, the seeds in those fruits can be minted and given to friends or sold, reflecting the value that you have added to the tree by planting and growing it somewhere in the Metaverse. It could end up seeding virtual forests, or being used as CG set pieces in movies or video games depending on who buys it from you.

Owner
Nathaniel Gibson
Nathaniel Gibson
QI-Q RoboMaster2022 CV Algorithm

QI-Q RoboMaster2022 CV Algorithm

2 Jan 10, 2022
Self Governing Neural Networks (SGNN): the Projection Layer

Self Governing Neural Networks (SGNN): the Projection Layer A SGNN's word projections preprocessing pipeline in scikit-learn In this notebook, we'll u

Guillaume Chevalier 22 Nov 06, 2022
An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.

PyTorch implementation of SFNet This is the implementation of the paper "SFNet: Learning Object-aware Semantic Correspondence". For more information,

CV Lab @ Yonsei University 87 Dec 30, 2022
Human pose estimation from video plays a critical role in various applications such as quantifying physical exercises, sign language recognition, and full-body gesture control.

Pose Detection Project Description: Human pose estimation from video plays a critical role in various applications such as quantifying physical exerci

Hassan Shahzad 2 Jan 17, 2022
A code repository associated with the paper A Benchmark for Rough Sketch Cleanup by Chuan Yan, David Vanderhaeghe, and Yotam Gingold from SIGGRAPH Asia 2020.

A Benchmark for Rough Sketch Cleanup This is the code repository associated with the paper A Benchmark for Rough Sketch Cleanup by Chuan Yan, David Va

33 Dec 18, 2022
Python calculations for the position of the sun and moon.

Astral This is 'astral' a Python module which calculates Times for various positions of the sun: dawn, sunrise, solar noon, sunset, dusk, solar elevat

Simon Kennedy 169 Dec 20, 2022
"Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback"

This is code repo for our EMNLP 2017 paper "Reinforcement Learning for Bandit Neural Machine Translation with Simulated Human Feedback", which implements the A2C algorithm on top of a neural encoder-

Khanh Nguyen 131 Oct 21, 2022
Shitty gaze mouse controller

demo.mp4 shitty_gaze_mouse_cotroller install tensofflow, cv2 run the main.py and as it starts it will collect data so first raise your left eyebrow(bo

16 Aug 30, 2022
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

Feature Forge This library provides a set of tools that can be useful in many machine learning applications (classification, clustering, regression, e

Machinalis 380 Nov 05, 2022
A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules

CapsNet-Tensorflow A Tensorflow implementation of CapsNet based on Geoffrey Hinton's paper Dynamic Routing Between Capsules Notes: The current version

Huadong Liao 3.8k Dec 29, 2022
An LSTM based GAN for Human motion synthesis

GAN-motion-Prediction An LSTM based GAN for motion synthesis has a few issues reading H3.6M data from A.Jain et al , will fix soon. Prediction of the

Amogh Adishesha 9 Jun 17, 2022
Code for Towards Streaming Perception (ECCV 2020) :car:

sAP — Code for Towards Streaming Perception ECCV Best Paper Honorable Mention Award Feb 2021: Announcing the Streaming Perception Challenge (CVPR 2021

Martin Li 85 Dec 22, 2022
Open AI's Python library

OpenAI Python Library The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language. It incl

Pavan Ananth Sharma 3 Jul 10, 2022
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer

BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer Project Page | Paper | Video State-of-the-art image-to-image translatio

47 Dec 06, 2022
Trajectory Prediction with Graph-based Dual-scale Context Fusion

DSP: Trajectory Prediction with Graph-based Dual-scale Context Fusion Introduction This is the project page of the paper Lu Zhang, Peiliang Li, Jing C

HKUST Aerial Robotics Group 103 Jan 04, 2023
This repository collects project-relevant Isabelle/HOL formalizations.

Isabelle/HOL formalizations related to the AuReLeE project Formalization of Abstract Argumentation Frameworks See AbstractArgumentation folder for the

AuReLeE project 1 Sep 10, 2022
PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).

Image Super-Resolution with Non-Local Sparse Attention This repository is for NLSN introduced in the following paper "Image Super-Resolution with Non-

143 Dec 28, 2022
Repository for "Exploring Sparsity in Image Super-Resolution for Efficient Inference", CVPR 2021

SMSR Reposity for "Exploring Sparsity in Image Super-Resolution for Efficient Inference" [arXiv] Highlights Locate and skip redundant computation in S

Longguang Wang 225 Dec 26, 2022
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch

pytorch-spynet This is a personal reimplementation of SPyNet [1] using PyTorch. Should you be making use of this work, please cite the paper according

Simon Niklaus 269 Jan 02, 2023
StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion Yinghao Aaron Li, Ali Zare, Nima Mesgarani We pres

Aaron (Yinghao) Li 282 Jan 01, 2023