Generate vector graphics from a textual caption

Overview

VectorAscent: Generate vector graphics from a textual description

Example

"a painting of an evergreen tree"

python text_to_painting.py --prompt "a painting of an evergreen tree" --num_iter 2500 --use_blob --subdir vit_rn50_useblob

a painting of an evergreen tree

Iterative generation of a painting of an evergreen tree

We rely on CLIP for its aligned text and image encoders, and diffvg, a differentiable vector graphics rasterizer. Differentiable rendering allows us to generate raster images from vector paths, but isn't provided textual descriptions. We use CLIP to score the similarity between raster graphics and textual captions. Using gradient ascent, we can then optimize for a vector graphic whose rasterization has high similarity with a user-provided caption, backpropagating through CLIP and diffvg to the vector graphics parameters. This project is partially inspired by Deep Daze, a caption-guided raster graphics generator.

Quick start

Requirements:

  • torch
  • torchvision
  • matplotlib
  • numpy
  • scikit-image
  • clip
  • diffvg

Install our dependencies and CLIP.

conda install --yes -c pytorch pytorch=1.7.1 torchvision cudatoolkit=11.0
pip install ftfy regex tqdm numpy matplotlib scikit-image
pip install git+https://github.com/openai/CLIP.git

Then follow these instructions to install diffvg.

Owner
Ajay Jain
Ajay Jain
SurvTRACE: Transformers for Survival Analysis with Competing Events

⭐ SurvTRACE: Transformers for Survival Analysis with Competing Events This repo provides the implementation of SurvTRACE for survival analysis. It is

Zifeng 13 Oct 06, 2022
Switch spaces for knowledge graph embeddings

SwisE Switch spaces for knowledge graph embeddings. Requirements: python3 pytorch numpy tqdm Reproduce the results To reproduce the reported results,

Shuai Zhang 4 Dec 01, 2021
Random Directed Acyclic Graph Generator

DAG_Generator Random Directed Acyclic Graph Generator verison1.0 简介 工作流通常由DAG(有向无环图)来定义,其中每个计算任务$T_i$由一个顶点(node,task,vertex)表示。同时,任务之间的每个数据或控制依赖性由一条加权

Livion 17 Dec 27, 2022
A collection of GNN-based fake news detection models.

This repo includes the Pytorch-Geometric implementation of a series of Graph Neural Network (GNN) based fake news detection models. All GNN models are implemented and evaluated under the User Prefere

SafeGraph 251 Jan 01, 2023
Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple

Silero Models: pre-trained speech-to-text, text-to-speech models and benchmarks made embarrassingly simple

Alexander Veysov 3.2k Dec 31, 2022
CDLA: A Chinese document layout analysis (CDLA) dataset

CDLA: A Chinese document layout analysis (CDLA) dataset 介绍 CDLA是一个中文文档版面分析数据集,面向中文文献类(论文)场景。包含以下10个label: 正文 标题 图片 图片标题 表格 表格标题 页眉 页脚 注释 公式 Text Title

buptlihang 84 Dec 28, 2022
TFIDF-based QA system for AIO2 competition

AIO2 TF-IDF Baseline This is a very simple question answering system, which is developed as a lightweight baseline for AIO2 competition. In the traini

Masatoshi Suzuki 4 Feb 19, 2022
Machine learning models from Singapore's NLP research community

SG-NLP Machine learning models from Singapore's natural language processing (NLP) research community. sgnlp is a Python package that allows you to eas

AI Singapore | AI Makerspace 21 Dec 17, 2022
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents [Project Page] [Paper] [Video] Wenlong Huang1, Pieter Abbee

Wenlong Huang 114 Dec 29, 2022
EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

EasyTransfer is designed to make the development of transfer learning in NLP applications easier. The literature has witnessed the success of applying

Alibaba 819 Jan 03, 2023
Code for the paper "Are Sixteen Heads Really Better than One?"

Are Sixteen Heads Really Better than One? This repository contains code to reproduce the experiments in our paper Are Sixteen Heads Really Better than

Paul Michel 143 Dec 14, 2022
A curated list of FOSS tools to improve the Hacker News experience

Awesome-Hackernews Hacker News is a social news website focusing on computer technologies, hacking and startups. It promotes any content likely to "gr

Bryton Lacquement 141 Dec 27, 2022
Transformation spoken text to written text

Transformation spoken text to written text This model is used for formatting raw asr text output from spoken text to written text (Eg. date, number, i

Nguyen Binh 16 Dec 28, 2022
Unsupervised intent recognition

INTENT author: steeve LAQUITAINE description: deployment pattern: currently batch only Setup & run git clone https://github.com/slq0/intent.git bash

sl 1 Apr 08, 2022
Tutorial to pretrain & fine-tune a 🤗 Flax T5 model on a TPUv3-8 with GCP

Pretrain and Fine-tune a T5 model with Flax on GCP This tutorial details how pretrain and fine-tune a FlaxT5 model from HuggingFace using a TPU VM ava

Gabriele Sarti 41 Nov 18, 2022
A Semi-Intelligent ChatBot filled with statistical and economical data for the Premier League.

MONEYBALL - ChatBot Module: 4006CEM, Class: B, Group: 5 Contributors: Jonas Djondo Roshan Kc Cole Samson Daniel Rodrigues Ihteshaam Naseer Kind remind

Jonas Djondo 1 Nov 18, 2021
This is the code for the EMNLP 2021 paper AEDA: An Easier Data Augmentation Technique for Text Classification

The baseline code is for EDA: Easy Data Augmentation techniques for boosting performance on text classification tasks

Akbar Karimi 81 Dec 09, 2022
Curso práctico: NLP de cero a cien 🤗

Curso Práctico: NLP de cero a cien Comprende todos los conceptos y arquitecturas clave del estado del arte del NLP y aplícalos a casos prácticos utili

Somos NLP 147 Jan 06, 2023
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Phil Wang 5k Jan 02, 2023
Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention

Sinkhorn Transformer This is a reproduction of the work outlined in Sparse Sinkhorn Attention, with additional enhancements. It includes a parameteriz

Phil Wang 217 Nov 25, 2022