Deep Learning-Driven Virtual Furniture Replacement Using GANs and Spatial Transformer Networks

Deep Learning-Driven Virtual Furniture Replacement Using GANs and Spatial Transformer Networks

This study proposes a Generative Adversarial Network (GAN)-based method for virtual furniture replacement within indoor scenes. The proposed method addresses the challenge of accurately positioning new furniture in an indoor space by combining image reconstruction with geometric matching through com...

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Bibliographic Details
Main Authors: Resmy Vijaykumar, Muneer Ahmad, Maizatul Akmar Ismail, Iftikhar Ahmad, Neelum Noreen
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Mathematics
Subjects:
generative adversarial networks
indoor scene synthesis
image inpainting
furniture swap
deep learning
object placement in indoor scenes
Online Access:https://www.mdpi.com/2227-7390/12/22/3513

Internet

https://www.mdpi.com/2227-7390/12/22/3513

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