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Publication2025

A novel photorealism framework for image generation using generative adversarial networks

The record

Type
Publication
Date
13 March 2025
Level
National
Journal
Crafting Images with Generative Adversarial Networks Gans and Models
Pages
41-55
Published
13 March 2025
DOI
10.4018/979-8-3693-7152-7.ch003
Scopus ID
105002190827
Authors
5
Open access
No
Citations
0
International co-authorship
No
Co-author countries
IN

Classification

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UN Sustainable Development Goals

  1. 9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending

    TargetPrimaryHigh confidenceJudged

    Novel generative adversarial networks framework for photorealistic image generation represents research innovation in deep learning algorithms and computational intelligence capacity.

    High confidence
    The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
    Judged
    Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

Viksit Bharat @2047

  1. vb-3.2 Digital technology and artificial intelligence

    Sub-themePrimaryHigh confidenceJudged

    Advances in artificial intelligence and machine learning algorithms for image synthesis directly contribute to digital technology and AI innovation capabilities.

    Produced by
    claude-haiku-4-5-20251001, under kortex-publication-v1

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KIIT Deemed to be University. “A novel photorealism framework for image generation using generative adversarial networks”. Kortex.

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