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
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

BasicVSR BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond Ported from https://github.com/xinntao/BasicSR Dependencie

Holy Wu 8 Jun 07, 2022
Source Code for DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances (https://arxiv.org/pdf/2012.01775.pdf)

DialogBERT This is a PyTorch implementation of the DialogBERT model described in DialogBERT: Neural Response Generation via Hierarchical BERT with Dis

Xiaodong Gu 67 Jan 06, 2023
This repository contains demos I made with the Transformers library by HuggingFace.

Transformers-Tutorials Hi there! This repository contains demos I made with the Transformers library by 🤗 HuggingFace. Currently, all of them are imp

3.5k Jan 01, 2023
Roadmap to becoming a machine learning engineer in 2020

Roadmap to becoming a machine learning engineer in 2020, inspired by web-developer-roadmap.

Chris Hoyean Song 1.7k Dec 29, 2022
PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

PrimitiveNet Source code for the paper: Jingwei Huang, Yanfeng Zhang, Mingwei Sun. [PrimitiveNet: Primitive Instance Segmentation with Local Primitive

Jingwei Huang 47 Dec 06, 2022
SWA Object Detection

SWA Object Detection This project hosts the scripts for training SWA object detectors, as presented in our paper: @article{zhang2020swa, title={SWA

237 Nov 28, 2022
End-to-end face detection, cropping, norm estimation, and landmark detection in a single onnx model

onnx-facial-lmk-detector End-to-end face detection, cropping, norm estimation, and landmark detection in a single onnx model, model.onnx. Demo You can

atksh 42 Dec 30, 2022
Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better performance.

InfoPro-Pytorch The Information Propagation algorithm for training deep networks with local supervision. (ICLR 2021) Revisiting Locally Supervised Lea

78 Dec 27, 2022
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors, CVPR 2021

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors Human POSEitioning System (H

Aymen Mir 66 Dec 21, 2022
Large scale embeddings on a single machine.

Marius Marius is a system under active development for training embeddings for large-scale graphs on a single machine. Training on large scale graphs

Marius 107 Jan 03, 2023
Implementation of Vaswani, Ashish, et al. "Attention is all you need."

Attention Is All You Need Paper Implementation This is my from-scratch implementation of the original transformer architecture from the following pape

Brando Koch 195 Dec 30, 2022
Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"

ASAP-Net This project implements ASAP-Net of paper ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation (BMVC2020). Overview We i

Hanwen Cao 26 Aug 25, 2022
This is the source code for generating the ASL-Skeleton3D and ASL-Phono datasets. Check out the README.md for more details.

ASL-Skeleton3D and ASL-Phono Datasets Generator The ASL-Skeleton3D contains a representation based on mapping into the three-dimensional space the coo

Cleison Amorim 5 Nov 20, 2022
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

VL-BERT By Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai. This repository is an official implementation of the paper VL-BERT:

Weijie Su 698 Dec 18, 2022
An excellent hash algorithm combining classical sponge structure and RNN.

SHA-RNN Recurrent Neural Network with Chaotic System for Hash Functions Anonymous Authors [摘要] 在这次作业中我们提出了一种新的 Hash Function —— SHA-RNN。其以海绵结构为基础,融合了混

Houde Qian 5 May 15, 2022
This repository contains the code for designing risk bounded motion plans for car-like robot using Carla Simulator.

Nonlinear Risk Bounded Robot Motion Planning This code simulates the bicycle dynamics of car by steering it on the road by avoiding another static car

8 Sep 03, 2022
Attention for PyTorch with Linear Memory Footprint

Attention for PyTorch with Linear Memory Footprint Unofficially implements https://arxiv.org/abs/2112.05682 to get Linear Memory Cost on Attention (+

11 Jan 09, 2022
Official Implementation and Dataset of "PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency", CVPR 2021

Portrait Photo Retouching with PPR10K Paper | Supplementary Material PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask an

184 Dec 11, 2022
Contains supplementary materials for reproduce results in HMC divergence time estimation manuscript

Scalable Bayesian divergence time estimation with ratio transformations This repository contains the instructions and files to reproduce the analyses

Suchard Research Group 1 Sep 21, 2022
[LREC] MMChat: Multi-Modal Chat Dataset on Social Media

MMChat This repo contains the code and data for the LREC2022 paper MMChat: Multi-Modal Chat Dataset on Social Media. Dataset MMChat is a large-scale d

Silver 47 Jan 03, 2023