Generating Realistic Composite Images Using Generative Image Inpainting

Techniques for generating realistic composite images by integrating foreground objects into target scenes using generative image inpainting and image harmonization methods.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-14
DOI
https://doi.org/10.5281/zenodo.19323904
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Generating Realistic Composite Images Using Generative Image Inpainting

Ramkumar Subramanian, Hanuma Ramesh Chadalavada, Matthew Witten
Zenodo (CERN European Organization for Nuclear Research)
Generative Adversarial Networks and Image Synthesis
article

Generating Realistic Composite Images Using Generative Image Inpainting

Ramkumar Subramanian, Hanuma Ramesh Chadalavada, Matthew Witten
article en

Abstract

Techniques for generating realistic composite images by integrating foreground objects into target scenes using generative image inpainting and image harmonization methods.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Generative Adversarial Networks and Image Synthesis
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Generating Realistic Composite Images Using Generative Image Inpainting — Ramkumar Subramanian, Hanuma Ramesh Chadalavada, et al. · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS