Nvidia · Filed Jan 5, 2026 · Published Aug 6, 2026 · verified — real USPTO data

Nvidia Patents a Fix for Grainy, Computer-Generated Images of Curved Surfaces

Ray tracing makes scenes look stunning, but it introduces visual noise that has to be cleaned up afterward. Nvidia's new patent tackles a specific headache: getting that cleanup right when the surfaces being rendered are smoothly curved, not flat polygons.

Nvidia Patent: Denoising Rendered Surfaces with Motion Vectors — figure from US 2026/0228863 A1
Figure from the official USPTO publication.
See all 18 drawings from this filing ↓
Publication number US 2026/0228863 A1
Applicant NVIDIA CORPORATION
Filing date Jan 5, 2026
Publication date Aug 6, 2026
Inventors Ardavan Kanani, Manuel Kraemer, Jesse Dylan Lacewell, Jan Andrik Oliver Schmid
CPC classification 348/607
Grant likelihood Medium
Examiner CENTRAL, DOCKET (Art Unit OPAP)
Status Docketed New Case - Ready for Examination (Feb 20, 2026)
Parent application Claims priority from a provisional application 63753458 (filed 2025-02-04)
Document 19 claims

How Nvidia removes noise from curved 3D surfaces

Imagine watching a ray-traced game where a shiny car hood or a character's skin looks grainy for a split second before the image settles. That grain is called noise, and removing it without blurring the picture is one of the hardest problems in real-time graphics.

To clean up noise intelligently, a renderer needs to know how every part of the picture moved from one frame to the next. That information is stored in something called a motion vector. The problem is that flat polygons are easy to track, but smooth, curved surfaces (like the kind used for organic shapes) can generate inaccurate motion vectors, causing the denoiser to smear or ghost the image.

Nvidia's patent describes a method that figures out motion vectors specifically for those curved surfaces by working with the math that defines the curve itself, rather than just looking at where pixels ended up on screen. The result is a more accurate picture of how curved geometry moved, which lets the denoising step do a cleaner job.

How motion vectors are rebuilt from parametric surface math

The patent centers on parametric surfaces, a way of describing smooth curves using mathematical formulas rather than a mesh of flat triangles. When a renderer wants to display one, it subdivides or tessellates the surface into fine geometry. Nvidia calls the final, fully smoothed result the limit surface.

For every pixel in the current frame, the system records a parametric location on the limit surface: essentially the mathematical coordinates of the exact point on the curve that pixel is looking at. It then uses those same coordinates to reconstruct where that point was in the previous frame.

  • Current and previous 3D positions on the limit surface are calculated from the parametric coordinates.
  • Both positions are projected into 2D screen space.
  • The difference between the two projected positions becomes the motion vector for that pixel.
  • Those motion vectors feed into the denoiser to accurately merge color information across frames.

Because the motion is derived from the surface's own mathematical definition rather than from approximate screen-space heuristics, the vectors are more precise, especially for surfaces that deform or animate between frames.

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What this means for real-time ray tracing quality

Denoising is the backbone of modern real-time ray tracing. Every major GPU vendor ships a denoiser (Nvidia's is called DLSS Ray Reconstruction), and its quality depends almost entirely on the accuracy of motion vectors. Bad motion vectors cause ghosting, where objects leave smeared trails, or disocclusion artifacts, where newly revealed areas look wrong.

Curved parametric surfaces show up constantly in high-end rendering: character skin, vehicle bodies, architectural details. If this technique makes it into a future driver or SDK update, it could eliminate a whole category of visual artifacts that currently require artists to work around manually. That matters both for game developers and for film and visualization pipelines that use Nvidia hardware.

Editorial take

This is a focused, specific engineering contribution aimed at a well-known weak spot in GPU-based denoising. It won't make headlines the way a new GPU architecture does, but developers who build ray-traced content know exactly the artifacts this is trying to fix. Worth watching for integration into a future version of Nvidia's graphics SDK.

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The drawings

18 drawing sheets from US 2026/0228863 A1 · click any drawing to enlarge

Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.

Editorial commentary on a publicly published patent application. Not legal advice.