In the field of 3D imaging and computer vision, "Ring Artifacts" are common errors that researchers use to fix.
I am answering for the first interpretation, as "deep paper" most commonly refers to in technical contexts. Technical Context: 3D Ring Artifacts & Deep Learning
Researchers often use 3D Convolutional Neural Networks (CNNs), like the U-Net architecture, to "paint over" or remove these ring-shaped defects in 3D scans. [3D] Tamaki (Ring) – NekoPoi
Modern papers suggest that using a "multi-scale structural similarity index" (MS-SSIM) helps the AI understand the geometry better, leading to "perfect" visual corrections in 3D models.
A technical or academic paper about "Deep Learning" or "3D Ring Artifacts" in imaging (e.g., this study on 3D CNNs ). In the field of 3D imaging and computer
If you were actually looking for information regarding a specific or character model from NekoPoi , please let me know, as that would fall under a very different category of content.
Inpainting of Ring Artifacts on Microtomographic Images by 3D CNN Modern papers suggest that using a "multi-scale structural
Which of these interpretations were you looking for, or were you referring to something else entirely?