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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM63066

PROCEDURAL ZENITH: AN INVESTIGATION INTO THE APPLICATION OF ADVANCED NODE-BASED SYSTEMS FOR GENERATING ENVIRONMENTALLY-CONSISTENT, PHOTOREALISTIC DETAIL IN LARGE-SCALE VFX SET EXTENSIONS.

Stream/Area:

-

Subject:

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Paper ID:

IJSREM63066

Volume:

10 |

5 |

May 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM63066

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Ch V Krishna Jyotsna

Ch V Krishna Jyotsna

Amity School of Film and Drama

Amity University UP

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Dr. Priyanka Dewatwal

Amity School of Film and Drama

Amity University UP

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Abstract

The history of the development of visual effects (VFX) production during the last 30 years represents a significant shift in the sphere of technology and creativity. The initial digital production methodologies were based on manual creation of assets, linear workflows, CPU bound rendering systems and a small amount of automation. Although the techniques were innovative at the time, they had problems regarding scalability, speed of turnaround, and flexibility in collaboration. Traditional workflows could not keep pace with the pressure of filmmakers to elaborate on environments, large-scale simulations, and increased realism. This dissertation examines the transformation between previous particle-based and hand-authored VFX pipelines to contemporary, procedural, data-driven production pipelines based on Houdini and USD-based scene management. This study explores fluid simulation method development, rendering technology, scene description systems, automation systems, and the structure of the industry by comparing Deep Rising and Avatar: The Way of Water. It takes particular notice of the creation of FLIP and APIC solvers, the replacement of Mantra-style CPU rendering with Karma XPU hybrid rendering, of the Universal Scene Description (USD) and the emergence of Houdini Digital Assets (HDAs) and Procedural Dependency Graphs (PDGs). The review of theories, technical analysis of the work, and analytical comparison allow the study to demonstrate that the workflow of procedures is not only an efficiency gain but a basic change in creative production. Non-destructive iteration, scalable parameters, distributed collaboration, and late-stage flexibility are possible in modern pipelines that used to be impossible due to the older systems. The study comes to the conclusion that proceduralism has now become an important part of the modern visual effects practice and the future of cinema world-building.

KEYWORDS

Large-Scale VFX

Cite This Article

Ch V Krishna Jyotsna, Dr. Priyanka Dewatwal, "PROCEDURAL ZENITH: AN INVESTIGATION INTO THE APPLICATION OF ADVANCED NODE-BASED SYSTEMS FOR GENERATING ENVIRONMENTALLY-CONSISTENT, PHOTOREALISTIC DETAIL IN LARGE-SCALE VFX SET EXTENSIONS.," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-7, May 2026. https://doi.org/10.55041/IJSREM63066

Full Article/Conclusion

Proceduralism is currently a core aspect of contemporary digital cinema. The areas that proceduralism is about to conflate as AI gains more and more support in pipelines, though, will be the distinctions between simulation, automation, and intelligent creative assistance. The future of visual effects is to create systems capable of creating digital worlds in real-time, as opposed to creating them one part at a time.

References

Procedural pipelines in the next decade could be on track to: 1.                        Complete dynamic on-screen movie. 2.                        AI-assisted setting up of the environment. 3.                        Collaborative work Cloud native. 4.                        Smart simulation scaling 5.                        Automated quality control It is likely that the procedural systems will be even more coupled with predictive algorithms.

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Publication Date

5/12/2026

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Double-Blind Peer Review

Review Rounds: 2

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