Tetavi Ltd.

Yair Baruch

Michael Birnboim

Shirley Keinan

Michael Tamir

Vsevolod Kagarlitsky

Gilad Talmon

Amir Green

David Drezner

Miky Tamir

Michal Heker

Roi Lev

Gil Wohlstadter

Sefy Kagarlitsky

Alik Mokeichev

A computer-implemented method of generating of a database for training a neural network configured for converting 2d images into 3d models comprising steps of: (a) obtaining 3d models; (b) rendering said 3d models in a 2d format from at least one view point; and (c) collecting pairs further comprising said rendered 2d image frame and said corresponding sampled 3d models each.

Method of training a neural network configured for converting 2D images into 3D models

A computer-implemented method of smoothing a transition between two mesh sequences to be rendered successively comprises steps of: (a) providing first and second mesh sequences {1} and {2} formed mesh frames, respectively, to be fused into a fused sequence; (b) selecting mesh frames gand gbeing candidates for fusing therebetween; calculating geometric rigid and/or non-rigid transformations of candidate frames gand gbelonging to said first and second mesh sequences {1} and {2}; applying calculated geometric rigid and/or non-rigid transformations to candidate frames gand gbelonging to said first and second mesh sequences {1} and {2}; calculating textural transformations of said candidate frames gand gbelonging to said first and second mesh sequences {1} and {2}; and applying calculated textural transformation to said candidate frames gand gbelonging to said first and second mesh sequences {1} and {2}.

Method of fusing mesh sequences within volumetric video

A method and system for improving a three-dimensional (3D) representation of objects using semantic data. The method comprises receiving an input data generated in response to captured video in a filming area; setting at least one parameter for each region in the input data; and generating a 3D representation based in part on the at least one parameter and semantic data associated with the input data.

Techniques for improving mesh accuracy using labeled inputs

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Tel Aviv, Israel

Yair Baruch