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<record>
  <title>Enhancing Realism in 3D Modeling Through Advanced Procedural Generation Techniques</title>
  <journal>Journal of Multimedia Processing and Technologies</journal>
  <author>Dheenadhayalan, P,Nelson Mandela, S</author>
  <volume>15</volume>
  <issue>4</issue>
  <year>2024</year>
  <doi>https://doi.org/10.6025/jmpt/2024/15/4/131-137</doi>
  <url>https://www.dline.info/jmpt/fulltext/v15n4/jmptv15n4_1.pdf</url>
  <abstract>This research investigates the impact of advanced procedural generation
techniques on enhancing realism in 3D modelling. The study identifies key themes
and challenges associated with procedural generation by employing a qualitative
approach, including expert interviews and case studies, alongside a
comprehensive literature review. Findings reveal that procedural techniques
significantly improve efficiency and scalability in creating complex and diverse
environments. However, balancing automation with artistic control remains a
critical challenge. Integrating procedural methods with traditional manual
modelling workflows, along with optimisation for performance and enhanced
user experience, is essential for achieving high levels of realism. This study
contributes to understanding best practices and provides recommendations for
future research and practical applications in 3D modelling.</abstract>
</record>
