neural image generation

Last update: Dec 17, 2022

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Overview

pixray

Pixray is an image generation system. It combines previous ideas including:

Perception Engines which uses image augmentation and iteratively optimises images against an ensemble of classifiers
CLIP guided GAN imagery from Ryan Murdoch and Katherine Crowson as well as modifictions such as CLIPDraw from Kevin Frans
Useful ways of navigating latent space from Sampling Generative Networks
(more to come)

pixray it itself a python library and command line utility, but is also friendly to running on line in Google Colab notebooks.

The system is currently lacking documentation. Instead plese checkout THE DEMO NOTEBOOKS - especially the super simple "Start Here" colab.

Owner

dribnet

Lecturer at University of Wellington School of Design teaching creative coding and researching neural design.

GitHub Repository

Invert and perturb GAN images for test-time ensembling

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93 Dec 08, 2022

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257 Dec 26, 2022

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26 Dec 13, 2022

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

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236 Jan 01, 2023

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232 Dec 29, 2022

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368 Dec 26, 2022

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(2021) paper

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574 Jan 02, 2023

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

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560 Dec 31, 2022

General Vision Benchmark, a project from OpenGVLab

Introduction We build GV-B(General Vision Benchmark) on Classification, Detection, Segmentation and Depth Estimation including 26 datasets for model e

174 Dec 27, 2022

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4 Dec 14, 2021

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19 Sep 18, 2022

Multi-task Multi-agent Soft Actor Critic for SMAC

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8 Sep 30, 2022

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44 Oct 10, 2022

[IROS2021] NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences

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22 Sep 28, 2022

Reimplementation of Learning Mesh-based Simulation With Graph Networks

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33 Dec 14, 2022

This repository contains the code and models for the following paper.

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65 Dec 27, 2022

Breaching - Breaching privacy in federated learning scenarios for vision and text

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139 Jan 03, 2023