Inventor · San Francisco, CA, US

Jonathan Eisenmann

20Patents
2h-index
37Co-inventors
49Inventor score

Filing activity: Sep 9, 2016 → Nov 15, 2022

Most-cited inventions

PatentTitleAreaCited byStatus
US11094083B2 Utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image Physics 15 Active
US9990728B2 Planar region guided 3D geometry estimation from a single image Physics 7 Active
US10417833B2 Automatic 3D camera alignment and object arrangment to match a 2D background image Physics 2 Active
US10475169B2 High dynamic range illumination estimation Physics 2 Active
US10936909B2 Learning to estimate high-dynamic range outdoor lighting parameters Physics 2 Active
US11983854B2 Denoising images rendered using Monte Carlo renderings Physics 1 Active
US10964060B2 Neural network-based camera calibration Physics 1 Active
US10831333B2 Manipulating a camera perspective within a three-dimensional space Physics 1 Active
US11972534B2 Modifying materials of three-dimensional digital scenes utilizing a visual neural network Physics 0 Active
US12254589B2 Extrapolating panoramas from images using a generative model Physics 0 Active
US10991085B2 Classifying panoramic images Physics 0 Active
US10290112B2 Planar region guided 3D geometry estimation from a single image Physics 0 Active
US10719920B2 Environment map generation and hole filling Physics 0 Active
US10957026B1 Learning from estimated high-dynamic range all weather lighting parameters Physics 0 Active
US11443412B2 High dynamic range illumination estimation Physics 0 Active
US11276150B2 Environment map generation and hole filling Physics 0 Active
US10957117B2 Intuitive editing of three-dimensional models Physics 0 Active
US11694416B2 Intuitive editing of three-dimensional models Physics 0 Active
US10515460B2 Neural network-based camera calibration Physics 0 Active
US11810326B2 Determining camera parameters from a single digital image Physics 0 Active

Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.