Article

Removing Unwanted Objects from Image/Frame By Generating Sub-Images Through Generative Adversarial Network

2022-08-03

Abstract excerpt

<title>Abstract</title> <p>The amazingly developing and advancing technology in every field also shows itself in image/frame processing. Today, computer vision is an important field of study that can be applied to computers with human vision. Generative networks have been used specifically in studies to specific purpose. After the generating networks were published, they were effectively used to obtain new data f...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dacaf65a-dc66-5a5c-80a8-16a36d23c027
DOI: 10.21203/rs.3.rs-1888538/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Removing Unwanted Objects from Image/Frame By Generating Sub-Images Through Generative Adversarial NetworkDOI 10.21203/rs.3.rs-1888538/v1Read

SeparaFill：Two generators connected mural image restoration based on generative adversarial network with skip connectSemantic proximity Read

Research on Dunhuang Murals Image Restoration Method Based on Generative Adversarial NetworkSemantic proximity Read

EA-GAN: Ancient books text restoration model based on example attentionSemantic proximity Read

Intraoral Image Generation by Progressive Growing of Generative Adversarial Network and Evaluation of Generated Image Quality by DentistsSemantic proximity Read

The re-identification generative adversarial network for image super-resolutionSemantic proximity Read

Mural inpainting via two-stage generative adversarial networkSemantic proximity Read

Low-dose CT I mage D enoising M ethod B ased on Generative Adversarial NetworkSemantic proximity Read

Digital Inpainting of Mural Images Based on DC-CycleGANSemantic proximity Read

Adversarial Variational Autoencoders to Extend and Improve Generative ModelSemantic proximity Read

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read

Classifying Real and AI-Generated Images Using Fine-Tuned ResNet50.Semantic proximity Read

Optimally Configured Generative Adversarial Networks to Distinguish Real and AI- Generated Human FacesSemantic proximity Read