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Virginia Tech

Natural Language Driven Image Edits using a Semantic Image Manipulation Language

Abstract

dc:description.abstract

Language provides us with a powerful tool to articulate and express ourselves! Understanding and harnessing the expressions of natural language can open the doors to a vast array of creative applications. In this work we explore one such application - natural language based image editing. We propose a novel framework to go from free-form natural language commands to performing fine-grained image edits. Recent progress in the field of deep learning has motivated solving most tasks using end-to-end deep convolutional frameworks. Such methods have shown to be very successful even achieving super-human performance in some cases. Although such progress has shown significant promise for the future we believe there is still progress to be made before their effective application to a task like fine-grained image editing. We approach the problem by dissecting the inputs (image and language query) and focusing on understanding the language input utilizing traditional natural language processing (NLP) techniques. We start by parsing the input query to identify the entities, attributes and relationships and generate a command entity representation. We define our own high-level image manipulation language that serves as an intermediate programming language connecting natural language requests that represent a creative intent over an image into the lower-level operations needed to execute them. The semantic command entity representations are mapped into this high- level language to carry out the intended execution.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Engineering
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mohapatra, Akrit
Chairs dc:contributor.committeechair
  • Huang, Jia-Bin
  • Batra, Dhruv
Committee member dc:contributor.committeemember
  • Abbott, A. Lynn

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:15507
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/83452

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Mohapatra, Akrit. Natural Language Driven Image Edits using a Semantic Image Manipulation Language. masters thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83452