NVIDIA is disclosing more about DLSS 5 and how the technology operates. In remarks attributed to GeForce Evangelist Jacob Freeman during a conversation with Daniel Owen, DLSS 5 was described as taking 2D frames and motion vectors as input and applying a generative Artificial Intelligence model to output frames in a 2D context rather than 3D.
The model may be trained on material that appears 3D, but its working process 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. No underlying geometry is changed. Instead, 2D images and motion vectors serve as input, and a generative Artificial Intelligence model processes textures and applies scene photorealism to produce the final output NVIDIA presents as DLSS 5.
The explanation positions this design as more computationally efficient than attempting complete photorealism in 3D. Achieving that in a full 3D workflow would require more GPU power than is currently available. By focusing on 2D frames and motion data rather than altering scene geometry, DLSS 5 is presented as a practical way to deliver enhanced visual output with current hardware constraints in mind.
