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Impact of NVIDIA DLSS on Graphics Performance in Modern Video Games

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  • Romero, Yennifer Díaz
  • Segura, Ángel Santiago Salazar
  • García, Víctor Manuel Martínez
  • Lizárraga, Pedro Antonio Valdez

Abstract

This study analyzed the impact of NVIDIA's Deep Learning Super Sampling (DLSS) technology on the graphics performance of modern video games through a qualitative, descriptive documentary research approach. Six scientific articles on super-resolution, convolutional neural networks, temporal reconstruction, and data-driven rendering were reviewed to identify the theoretical foundations underlying DLSS. The findings indicate that this technology integrates advances in deep learning to reconstruct high-quality images from lower-resolution inputs, improving graphics performance while maintaining visual quality. Furthermore, DLSS shares key principles with models such as SRGAN and ESRGAN, particularly the use of spatial and temporal information to optimize image reconstruction. It is concluded that DLSS represents a practical application of scientific advances in super-resolution, providing an efficient solution for real-time graphics processing.

Suggested Citation

  • Romero, Yennifer Díaz & Segura, Ángel Santiago Salazar & García, Víctor Manuel Martínez & Lizárraga, Pedro Antonio Valdez, 2026. "Impact of NVIDIA DLSS on Graphics Performance in Modern Video Games," SAP Social AI, South American Publishing.
    • Handle: RePEc:cwf:saiart:sai202684
    DOI: 10.62486/sai202684
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