Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Utilizing soft classifications to select input parameters for segmentation algorithms and identify segments of three-dimensional digital models

Utilizing soft classifications to select input parameters for segmentation algorithms and identify segments of three-dimensional digital models

US Patent 11823391 · Granted Nov 21, 2023

Estimated economic value: $112,524,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Systems and methods for dynamic object removal from three-dimensional data2025
Generating stylized digital images via drawing stroke optimization utilizing a m2025
Utilizing machine learning models for patch retrieval and deformation in complet2025
Generating mappings of three-dimensional meshes utilizing neural network gradien2025
Extrapolating panoramas from images using a generative model2025
Controlling a neural network through intermediate latent spaces2024
Subdividing a three-dimensional mesh utilizing a neural network2024
Contact-aware retargeting of motion2024
Accurate smooth occluding contours2024
Generation of stylized drawing of three-dimensional shapes using neural networks2024
Neural network based 3D object surface mapping2024
Systems and methods for interactive prediction and planning2024