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

MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space

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38 Dec 15, 2022

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Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

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Implementation of the paper titled "Using Sampling to Estimate and Improve Performance of Automated Scoring Systems with Guarantees"

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2 Aug 29, 2022

Codebase of deep learning models for inferring stability of mRNA molecules

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40 Dec 29, 2022

Selecting Parallel In-domain Sentences for Neural Machine Translation Using Monolingual Texts

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11 Oct 08, 2022

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291 Dec 24, 2022

SimDeblur is a simple framework for image and video deblurring, implemented by PyTorch

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220 Jan 07, 2023

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

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98 Dec 15, 2022

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393 Dec 20, 2022

Transfer Learning for Pose Estimation of Illustrated Characters

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142 Dec 28, 2022

This repository contains the implementation of the following paper: Cross-Descriptor Visual Localization and Mapping

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81 Oct 06, 2022

A new data augmentation method for extreme lighting conditions.

Random Shadows and Highlights This repo has the source code for the paper: Random Shadows and Highlights: A new data augmentation method for extreme l

35 Nov 26, 2022

Code and data for paper "Deep Photo Style Transfer"

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9.9k Dec 29, 2022

The project is associated with the recently-launched ICASSP 2022 Multi-channel Multi-party Meeting Transcription Challenge (M2MeT) to provide participants with baseline systems for speech recognition and speaker diarization in conference scenario.

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81 Dec 08, 2022