Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

V Sathiya V Sathiya

Biographic Data

ID10127854
NAMEV Sathiya V Sathiya
GIVEN NAMESV Sathiya V
FAMILY NAMESathiya
SIGNATURESATHIYA V S V
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Generative Adversarial Networks for Pattern Reconstruction

    Open Access•Sukhada Shashank Aloni Aloni, Kiran Ramesh Khandarkar et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Pattern reconstruction of patterns has become one of the most important tasks of computer vision, preservation of digital heritage, automation of textile, and generative design. Their capability to learn the complex data distributions through a training process of the Generative Adversarial Networks (GANs) offers strong infrastructure to learn the reconstruction of the structural, geometric, or textual motifs using incomplete, noisy, or degraded …

  • Evaluating Artistic Authenticity in Machine-Aided Sculptures

    Open Access•Sakshi Pahariya, Meeta Kharadi et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    he question of artistic originality with machine-aided sculptures involves a strict, multidimensional study involving the intersection of human creativity and algorithmic determination of aesthetic forms that lead to hybrids. With AI-assisted design, generative modelling and robotic fabrication gaining more and more influence over the practice of sculpture, the issue of authorship, intentionality, material fidelity and interpretive meaning is rai…

No prominent works on this page.

  • Generative Adversarial Networks for Pattern Reconstruction

    Open Access•Sukhada Shashank Aloni Aloni, Kiran Ramesh Khandarkar et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    Pattern reconstruction of patterns has become one of the most important tasks of computer vision, preservation of digital heritage, automation of textile, and generative design. Their capability to learn the complex data distributions through a training process of the Generative Adversarial Networks (GANs) offers strong infrastructure to learn the reconstruction of the structural, geometric, or textual motifs using incomplete, noisy, or degraded …

  • Evaluating Artistic Authenticity in Machine-Aided Sculptures

    Open Access•Sakshi Pahariya, Meeta Kharadi et al.•ARTICLE•ShodhKosh: Journal of Visual and…•2025

    he question of artistic originality with machine-aided sculptures involves a strict, multidimensional study involving the intersection of human creativity and algorithmic determination of aesthetic forms that lead to hybrids. With AI-assisted design, generative modelling and robotic fabrication gaining more and more influence over the practice of sculpture, the issue of authorship, intentionality, material fidelity and interpretive meaning is rai…

Aesthetic Perception and Analysis (2 works) · Generative grammar (2 works) · Adversarial system (1 work) · Art, Technology, and Culture (1 work) · Computer Graphics and Visualization Techniques (1 work) · Constructive (1 work) · Creativity (1 work) · Deep learning (1 work) · Discriminator (1 work) · Generative Adversarial Networks and Image Synthesis (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae