The public is still learning more about DLSS 5 technology, and NVIDIA is gradually revealing additional details. In a conversation between YouTuber Daniel Owen and NVIDIA's GeForce Evangelist Jacob Freeman, we discover that DLSS 5 essentially takes 2D frames and motion vectors as input, applying its generative AI model to output frames in a 2D context rather than 3D. This means that while the model is trained on materials that might appear 3D, its actual work is based on 2D imagery. It identifies each frame's motion vectors and anchors the model to them, operating in a 2D space instead of a full 3D environment. This approach to handling graphics is much more computationally efficient, as achieving complete photorealism in 3D would require more GPU power than is currently available. No underlying geometry is changed. Instead, 2D images and motion vectors serve as input, a generative AI model processes textures and applies scene photorealism, resulting in the final output that NVIDIA promotes as DLSS 5.
Below, you can see the complete Q&A exchange between Daniel Owen and Jacob Freeman, which was nicely compiled by VideoCardz. Numbers represent questions from Daniel Owen, while answers are provided by NVIDIA's Jacob Freeman.Read full story

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