Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Last update: Jan 03, 2023

Related tags

Deep Learning zero-shot-image-to-text

Overview

Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

[Paper] [Colab is coming soon]

Approach

Example

Usage

To run captioning on a single image:

$ python run.py 
--reset_context_delta
--caption_img_path "example_images/captions/COCO_val2014_000000097017.jpg"

To run model on visual arithmetic:

$ python run.py 
--reset_context_delta
--end_factor 1.06
--fusion_factor 0.95
--grad_norm_factor 0.95
--run_type arithmetics
--arithmetics_imgs "example_images/arithmetics/woman2.jpg" "example_images/arithmetics/king2.jpg" "example_images/arithmetics/man2.jpg"
--arithmetics_weights 1 1 -1

To run model on real world knowledge:

$ python run.py
--reset_context_delta --cond_text "Image of" 
--end_factor 1.04 
--caption_img_path "example_images/real_world/simpsons.jpg"

To run model on OCR:

$ python run.py
--reset_context_delta --cond_text "Image of text that says" 
--end_factor 1.04 
--caption_img_path "example_images/OCR/welcome_sign.jpg"

Owner

GitHub Repository

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Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Related tags

Overview

Pytorch Implementation of Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

Approach

Example

Usage

To run captioning on a single image:

To run model on visual arithmetic:

To run model on real world knowledge:

To run model on OCR:

Owner

This repository contains the segmentation user interface from the OpenSurfaces project, extracted as a lightweight tool

Architecture Patterns with Python (TDD, DDD, EDM)

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Fast and Easy Infinite Neural Networks in Python

Secure Distributed Training at Scale

Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

PyTorch code for training MM-DistillNet for multimodal knowledge distillation

Code repo for EMNLP21 paper "Zero-Shot Information Extraction as a Unified Text-to-Triple Translation"

A minimal implementation of face-detection models using flask, gunicorn, nginx, docker, and docker-compose

This game was designed to encourage young people not to gamble on lotteries, as the probablity of correctly guessing the number is infinitesimal!

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN.

deep learning model with only python and numpy with test accuracy 99 % on mnist dataset and different optimization choices

Commonsense Ability Tests

Filtering variational quantum algorithms for combinatorial optimization

An OpenAI-Gym Package for Training and Testing Reinforcement Learning algorithms with OpenSim Models

本步态识别系统主要基于GaitSet模型进行实现

PyTorch implemention of ICCV'21 paper SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

Reimplementation of Dynamic Multi-scale filters for Semantic Segmentation.

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone