Neural Rendering and GPU Acceleration for Next-Generation Graphics
Keywords:
Neural Rendering, GPU Acceleration, Deep Learning, Real-Time Rendering, Computer Graphics, Image SynthesisAbstract
The field of computer graphics has advanced rapidly in recent years, leading to the development of neural rendering as a powerful new approach for creating realistic visual content. By combining deep learning techniques with traditional rendering methods, neural rendering makes it possible to generate images and reconstruct scenes more efficiently and accurately. At the same time, GPU acceleration has become essential in handling the heavy computational requirements of these techniques, thanks to its ability to process many tasks in parallel. This paper provides a detailed review of neural rendering and GPU acceleration, explaining how they work together to support next-generation graphics. It covers important methods, system architectures, applications, challenges, and future research directions. Overall, the study highlights how the combination of artificial intelligence and high-performance computing is reshaping the way visual content is created and used across different fields.
How to cite this article:
Singh P, Vishwakarma S, Neural Rendering and GPU Acceleration for Next-Generation Graphics. J Adv Res Comp Graph Multim Tech. 2026; 8(1):
11-14.
References
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