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
Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation"

1 Introduction Official code for article "Expression is enough: Improving traffic signal control with advanced traffic state representation". The code s

Liang Zhang 10 Dec 10, 2022
The project page of paper: Architecture disentanglement for deep neural networks [ICCV 2021, oral]

This is the project page for the paper: Architecture Disentanglement for Deep Neural Networks, Jie Hu, Liujuan Cao, Tong Tong, Ye Qixiang, ShengChuan

Jie Hu 15 Aug 30, 2022
Repository of best practices for deep learning in Julia, inspired by fastai

FastAI Docs: Stable | Dev FastAI.jl is inspired by fastai, and is a repository of best practices for deep learning in Julia. Its goal is to easily ena

FluxML 532 Jan 02, 2023
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation Network for 3D Shape Recognition"

MVTN: Multi-View Transformation Network for 3D Shape Recognition (ICCV 2021) By Abdullah Hamdi, Silvio Giancola, Bernard Ghanem Paper | Video | Tutori

Abdullah Hamdi 64 Jan 03, 2023
Code release for "BoxeR: Box-Attention for 2D and 3D Transformers"

BoxeR By Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees Snoek. This repository is an official implementation of the paper BoxeR: Box-A

Nguyen Duy Kien 111 Dec 07, 2022
Visualizing lattice vibration information from phonon dispersion to atoms (For GPUMD)

Phonon-Vibration-Viewer (For GPUMD) Visualizing lattice vibration information from phonon dispersion for primitive atoms. In this tutorial, we will in

Liangting 6 Dec 10, 2022
data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer"

C2F-FWN data/code repository of "C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer" (https://arxiv.org/abs/

EKILI 46 Dec 14, 2022
Neural Caption Generator with Attention

Neural Caption Generator with Attention Tensorflow implementation of "Show

Taeksoo Kim 510 Nov 30, 2022
A python module for scientific analysis of 3D objects based on VTK and Numpy

A lightweight and powerful python module for scientific analysis and visualization of 3d objects.

Marco Musy 1.5k Jan 06, 2023
An efficient implementation of GPNN

Efficient-GPNN An efficient implementation of GPNN as depicted in "Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Mo

7 Apr 16, 2022
CVNets: A library for training computer vision networks

CVNets: A library for training computer vision networks This repository contains the source code for training computer vision models. Specifically, it

Apple 1.1k Jan 03, 2023
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

CoTr: Efficient 3D Medical Image Segmentation by bridging CNN and Transformer This is the official pytorch implementation of the CoTr: Paper: CoTr: Ef

218 Dec 25, 2022
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021)

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021) This repository contains the code

149 Dec 15, 2022
GPOEO is a micro-intrusive GPU online energy optimization framework for iterative applications

GPOEO GPOEO is a micro-intrusive GPU online energy optimization framework for iterative applications. We also implement ODPP [1] as a comparison. [1]

瑞雪轻飏 8 Sep 10, 2022
Official PyTorch Implementation of Convolutional Hough Matching Networks, CVPR 2021 (oral)

Convolutional Hough Matching Networks This is the implementation of the paper "Convolutional Hough Matching Network" by J. Min and M. Cho. Implemented

Juhong Min 70 Nov 22, 2022
Benchmarks for Object Detection in Aerial Images

Benchmarks for Object Detection in Aerial Images

Jian Ding 691 Dec 30, 2022
Reference models and tools for Cloud TPUs.

Cloud TPUs This repository is a collection of reference models and tools used with Cloud TPUs. The fastest way to get started training a model on a Cl

5k Jan 05, 2023
A `Neural = Symbolic` framework for sound and complete weighted real-value logic

Logical Neural Networks LNNs are a novel Neuro = symbolic framework designed to seamlessly provide key properties of both neural nets (learning) and s

International Business Machines 138 Dec 19, 2022
Fully Convolutional DenseNet (A.K.A 100 layer tiramisu) for semantic segmentation of images implemented in TensorFlow.

FC-DenseNet-Tensorflow This is a re-implementation of the 100 layer tiramisu, technically a fully convolutional DenseNet, in TensorFlow (Tiramisu). Th

Hasnain Raza 121 Oct 12, 2022
An Implementation of SiameseRPN with Feature Pyramid Networks

SiameseRPN with FPN This project is mainly based on HelloRicky123/Siamese-RPN. What I've done is just add a Feature Pyramid Network method to the orig

3 Apr 16, 2022