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

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294 Dec 30, 2022

Repo for "Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks"

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54 Jan 03, 2023

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Official Code Release for "CLIP-Adapter: Better Vision-Language Models with Feature Adapters"

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157 Dec 26, 2022

Dynamic wallpaper generator.

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3 Sep 18, 2021

Jittor implementation of Recursive-NeRF: An Efficient and Dynamically Growing NeRF

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33 Nov 30, 2022

NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.

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28 Aug 03, 2022

Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision

Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision Project | PDF | Poster Fangyu Li, N. Dinesh Reddy, X

25 Dec 21, 2022

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

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114 Dec 12, 2022