ChatPainter: Improving Text to Image Generation using Dialogue

02/22/2018
by   Shikhar Sharma, et al.
0

Synthesizing realistic images from text descriptions on a dataset like Microsoft Common Objects in Context (MS COCO), where each image can contain several objects, is a challenging task. Prior work has used text captions to generate images. However, captions might not be informative enough to capture the entire image and insufficient for the model to be able to understand which objects in the images correspond to which words in the captions. We show that adding a dialogue that further describes the scene leads to significant improvement in the inception score and in the quality of generated images on the MS COCO dataset.

READ FULL TEXT

page 1

page 5

page 6

research
05/02/2017

STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset

In recent years, automatic generation of image descriptions (captions), ...
research
10/05/2018

CanvasGAN: A simple baseline for text to image generation by incrementally patching a canvas

We propose a new recurrent generative model for generating images from t...
research
06/06/2021

MOC-GAN: Mixing Objects and Captions to Generate Realistic Images

Generating images with conditional descriptions gains increasing interes...
research
04/01/2015

Microsoft COCO Captions: Data Collection and Evaluation Server

In this paper we describe the Microsoft COCO Caption dataset and evaluat...
research
10/02/2020

CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns

Recently, Deep Learning (DL) methods have shown an excellent performance...
research
05/03/2017

FOIL it! Find One mismatch between Image and Language caption

In this paper, we aim to understand whether current language and vision ...
research
07/06/2021

Improving Text-to-Image Synthesis Using Contrastive Learning

The goal of text-to-image synthesis is to generate a visually realistic ...

Please sign up or login with your details

Forgot password? Click here to reset