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

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

Ludwig Benchmarking Toolkit

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

Relative Uncertainty Learning for Facial Expression Recognition

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Simple PyTorch implementations of Badnets on MNIST and CIFAR10.

Plenoxels: Radiance Fields without Neural Networks

SplineConv implementation for Paddle.

Flask101 - FullStack Web Development with Python & JS - From TAQWA

Tools for manipulating UVs in the Blender viewport.

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

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This repo contains the official code of our work SAM-SLR which won the CVPR 2021 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition.

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