A Concise Overview of DLSS-Based Frame Generation

The demand for ultra-high frame rates and realistic graphics has driven the evolution of rendering techniques in real-time graphics. NVIDIA's Deep Learning Super Sampling (DLSS) technology addresses performance constraints by leveraging AI-powered models to reconstruct or generate high-resolution frames. The latest iteration, DLSS 4, introduces Multi Frame Generation (MFG) with Transformer- based architectures to synthesize multiple future frames with high temporal and spatial fidelity. This paper explores the evolution, technological framework, implementation, and performance of DLSS 4, comparing it with competing technologies like AMD FSR and Intel XeSS. Keywords: Frame generation, DLSS, Multi Frame Generation, Transformer, Ray Reconstruction, AI rendering.