Paper Title

Rendering Technologies in Contemporary Game Engines: A Comparative Analysis

Authors

Mr. Abhijeet Salvi , PARAM KUMAR SINGH , PANDEY UDIT SURESH , KHARE AYUSH NAVNATH

Keywords

Real-Time Rendering, Rasterization, Ray Tracing, Deferred Rendering, Forward+ Rendering, Game Engine, GPU Acceleration, DLSS, LOD, Shader Programming

Abstract

Real-time rendering—the on-the-fly generation of screen images within millisecond frame budgets—is the defining technical challenge of interactive software development. Unlike offline cinematic rendering, game engines must produce each frame within 16–33 ms to sustain 30–60 fps, demanding highly optimized pipelines backed by programmable GPU hardware. Leading platforms—Unreal Engine 5, Unity (HDRP), Godot 4, and CryEngine—employ layered rendering architectures combining rasterization, hardware-accelerated ray tracing, deferred shading, and AI-driven upscaling. This paper systematically compares these approaches across performance, visual fidelity, hardware requirements, and scalability. A cross-engine feature matrix is presented alongside an analysis of emerging AI-enhanced rendering technologies (DLSS, FSR, XeSS). The findings provide practical guidance for engine selection and pipeline design across diverse hardware targets, from enthusiast GPUs to mobile and VR devices.

How To Cite

"Rendering Technologies in Contemporary Game Engines: A Comparative Analysis", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 4, page no.b377-b382, April-2026, Available :https://rjpn.org/JETNR/papers/JETNR2604176.pdf

Issue

Volume 4 Issue 4, April-2026

Pages : b377-b382

Other Publication Details

Paper Reg. ID: JETNR_233349

Published Paper Id: JETNR2604176

Downloads: 00041

Research Area: Science and Technology

Country: -, -, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2604176

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2604176

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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