Patents Assigned to Eidgenössische Technische Hochschule
  • Patent number: 11393107
    Abstract: Some implementations of the disclosure are directed to capturing facial training data for one or more subjects, the captured facial training data including each of the one or more subject's facial skin geometry tracked over a plurality of times and the subject's corresponding jaw poses for each of those plurality of times; and using the captured facial training data to create a model that provides a mapping from skin motion to jaw motion. Additional implementations of the disclosure are directed to determining a facial skin geometry of a subject; using a model that provides a mapping from skin motion to jaw motion to predict a motion of the subject's jaw from a rest pose given the facial skin geometry; and determining a jaw pose of the subject using the predicted motion of the subject's jaw.
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: July 19, 2022
    Assignees: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)
    Inventors: Dominik Thabo Beeler, Derek Edward Bradley, Gaspard Zoss
  • Patent number: 11335051
    Abstract: Techniques for animation are provided. A first trajectory for a first element in a first animation is determined. A first approximation is generated based on the first trajectory, and the first approximation is modified based on an updated state of the first element. The first trajectory is then refined based on the modified first approximation.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: May 17, 2022
    Assignees: Disney Enterprises, Inc., ETH Zurich (Eidgenoessische Technische Hochschule Zurich)
    Inventors: Robert W. Sumner, Alba Maria Rios Rodriguez, Maurizio Nitti, Mattia Ryffel, Steven C. Poulakos
  • Patent number: 11276231
    Abstract: Techniques are disclosed for training and applying nonlinear face models. In embodiments, a nonlinear face model includes an identity encoder, an expression encoder, and a decoder. The identity encoder takes as input a representation of a facial identity, such as a neutral face mesh minus a reference mesh, and outputs a code associated with the facial identity. The expression encoder takes as input a representation of a target expression, such as a set of blendweight values, and outputs a code associated with the target expression. The codes associated with the facial identity and the facial expression can be concatenated and input into the decoder, which outputs a representation of a face having the facial identity and expression. The representation of the face can include vertex displacements for deforming the reference mesh.
    Type: Grant
    Filed: March 4, 2020
    Date of Patent: March 15, 2022
    Assignees: DISNEY ENTERPRISES, INC., ETH ZÜRICH, (EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH)
    Inventors: Prashanth Chandran, Dominik Thabo Beeler, Derek Edward Bradley
  • Patent number: 11257276
    Abstract: Techniques are disclosed for generating digital faces. In some examples, a style-based generator receives as inputs initial tensor(s) and style vector(s) corresponding to user-selected semantic attribute styles, such as the desired expression, gender, age, identity, and/or ethnicity of a digital face. The style-based generator is trained to process such inputs and output low-resolution appearance map(s) for the digital face, such as a texture map, a normal map, and/or a specular roughness map. The low-resolution appearance map(s) are further processed using a super-resolution generator that is trained to take the low-resolution appearance map(s) and low-resolution 3D geometry of the digital face as inputs and output high-resolution appearance map(s) that align with high-resolution 3D geometry of the digital face. Such high-resolution appearance map(s) and high-resolution 3D geometry can then be used to render standalone images or the frames of a video that include the digital face.
    Type: Grant
    Filed: June 8, 2020
    Date of Patent: February 22, 2022
    Assignees: DISNEY ENTERPRISES, INC., ETH ZURICH, (EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH)
    Inventors: Prashanth Chandran, Dominik Thabo Beeler, Derek Edward Bradley
  • Patent number: 11236136
    Abstract: Described herein are methods of producing glycosylated proteins in vitro and in vivo. The methods include using host cells to produce glycosylated proteins. Also described herein are glycosylated proteins produced using such methods and uses thereof.
    Type: Grant
    Filed: November 30, 2016
    Date of Patent: February 1, 2022
    Assignees: LIMMATECH BIOLOGICS AG, EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH
    Inventors: Michael L. Wetter, Michael T. Kowarik, Amirreza Faridmoayer, Manuela Mally, Christian A. Lizak, Markus Aebi, Chia-wei Lin, Ivan Hang, Timothy Keys
  • Publication number: 20220022468
    Abstract: A dough-based food product, an apparatus and method for production thereof. A food product matrix to be foamed includes a proportion of a starch-containing raw material and a proportion of water. Gas that has been dissolved or is to be dissolved is introduced into the food product matrix to be foamed. The gas is dissolved under pressure in the food product matrix to be foamed. Gas bubbles are formed by expansion and increasing the volume with a resulting reduction in density of the dough as a result of bubble growth for formation of a foamed food product matrix of the food product to be produced. The foam is then stabilized. Gas is introduced into and dissolved in the aqueous component of the food product matrix to be foamed in a subcritical state below the critical point and at a pressure of 10 bar?p<gas critical pressure.
    Type: Application
    Filed: October 4, 2021
    Publication date: January 27, 2022
    Applicants: Eidgenössische Technische Hochschule Zürich, Roland Murten AG
    Inventors: Volker LAMMERS, Erich WINDHAB
  • Patent number: 11226763
    Abstract: The invention is notably directed at a device for high-dimensional computing comprising an associative memory module. The associative memory module comprises one or more planar crossbar arrays. The one or more planar crossbar arrays comprise a plurality of resistive memory elements. The device is configured to program profile vector elements of profile hypervectors as conductance states of the resistive memory elements and to apply query vector elements of query hypervectors as read voltages to the one or more crossbar arrays. The device is further configured to perform a distance computation between the profile hypervectors and the query hypervectors by measuring output current signals of the one or more crossbar arrays. The invention further concerns a related method and a related computer program product.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: January 18, 2022
    Assignees: International Business Machines Corporation, ETH ZURICH (EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH)
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini
  • Patent number: 11222466
    Abstract: Techniques are disclosed for changing the identities of faces in video frames and images. In embodiments, three-dimensional (3D) geometry of a face is used to inform the facial identity change produced by an image-to-image translation model, such as a comb network model. In some embodiments, the model can take a two-dimensional (2D) texture map and/or a 3D displacement map associated with one facial identity as inputs and output another 2D texture map and/or 3D displacement map associated with a different facial identity. The other 2D texture map and/or 3D displacement map can then be used to render an image that includes the different facial identity.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: January 11, 2022
    Assignees: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)
    Inventors: Jacek Krzysztof Naruniec, Derek Edward Bradley, Thomas Etterlin, Paulo Fabiano Urnau Gotardo, Leonhard Markus Helminger, Christopher Richard Schroers, Romann Matthew Weber
  • Patent number: 11210774
    Abstract: According to one implementation, a pixel error detection system includes a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to receive an input image, to mask, using an inpainting neural network (NN), one or more patch(es) of the input image, and to inpaint, using the inpainting NN, the masked patch(es) based an input image pixels neighboring each of the masked patch(es). The hardware processor is configured to further execute the software code to generate, using the inpainting NN, a residual image based on differences between the inpainted masked patch(es) and the patch(es) in the input image and to identify one or more anomalous pixel(s) in the input image using the residual image.
    Type: Grant
    Filed: March 31, 2020
    Date of Patent: December 28, 2021
    Assignees: Disney Enterprises, Inc., ETH Zürich (EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH)
    Inventors: Christopher Richard Schroers, Abdelaziz Djelouah, Sutao Wang, Erika Varis Doggett
  • Publication number: 20210381001
    Abstract: Disclosed herein are contiguous DNA sequences encoding highly compact multi-input genetic logic gates for precise in vivo cell targeting, and methods of treating disease using a combination of in vivo delivery and such contiguous DNA sequences.
    Type: Application
    Filed: October 10, 2019
    Publication date: December 9, 2021
    Applicant: Eidgenössische Technische Hochschule Zürich
    Inventors: Yaakov Benenson, Bartolomeo Angelici
  • Publication number: 20210308269
    Abstract: A binding moiety (B) for Carbonic Anhydrase IX (CAIX), the binding moiety comprising: The binding moiety is univalent, bivalent, or multivalent. A targeted therapeutic agent may comprise the binding moiety. The invention also includes a method for treating a disease expressing elevated levels of CAIX by administering the targeted therapeutic agent.
    Type: Application
    Filed: March 23, 2021
    Publication date: October 7, 2021
    Applicant: Eidgenoessische Technische Hochschule Zurich
    Inventors: Nikolaus Krall, Willy Decurtins, Dario Neri, Jörg Scheuermann, Moreno Wichert
  • Patent number: 11134691
    Abstract: A dough-based food product, an apparatus and method for production of the dough-based food product. A food product matrix to be foamed includes a proportion by weight of a starch-containing raw material and a proportion by weight of water. Gas that has been dissolved or is to be dissolved is introduced into the food product matrix to be foamed. The gas is dissolved under pressure in the food product matrix to be foamed. Gas bubbles are formed by expansion and increasing the volume with a resulting reduction in density of the dough as a result of bubble growth for formation of a foamed food product matrix of the food product to be produced. The foam is then stabilized. Gas is introduced into and dissolved in the aqueous component of the food product matrix to be foamed in a subcritical state below the critical point and at a pressure of 10 bar?p<critical pressure of the gas.
    Type: Grant
    Filed: November 11, 2016
    Date of Patent: October 5, 2021
    Assignees: EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH, Roland Murten AG
    Inventors: Volker Lammers, Erich Windhab
  • Patent number: 11132051
    Abstract: This disclosure presents systems and methods to provide an interactive environment in response to touch-based inputs. A first body channel communication device coupled to a user may transmit and/or receive signals configured to be propagated along skin of the user such that the skin of the user comprises a signal transmission path. A second body channel communication device coupled to an interaction entity may be configured to transmit and/or receive signals configured to be propagated along the skin of the user along the signal transmission path. A presentation device may present images of virtual content to the user. Information may be communicated between the first body channel communication device, the second body channel communication device, and the presentation device so that virtual content specific to the interaction entity may be presented to augment an appearance of the interaction entity.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: September 28, 2021
    Assignees: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)
    Inventors: Robert Sumner, Benjamin Buergisser, Fabio Zünd, Gergely Vakulya, Virag Varga, Thomas Gross, Alanson Sample
  • Patent number: 11087517
    Abstract: In particular embodiments, a 2D representation of an object may be provided. A first method may comprise: receiving sketch input identifying a target position for a specified portion of the object; computing a deformation for the object within the context of a character rig specification for the object; and displaying an updated version of the object. A second method may comprise detecting sketch input; classifying the sketch input, based on the 2D representation, as an instantiation of the object; instantiating the object using a 3D model of the object; and displaying a 3D visual representation of the object.
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: August 10, 2021
    Assignees: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)
    Inventors: Robert Walker Sumner, Maurizio Nitti, Stelian Coros, Bernhard Thomaszewski, Fabian Andreas Hahn, Markus Gross, Frederik Rudolf Mutzel
  • Publication number: 20210130334
    Abstract: The invention relates to a compound of formula (I) wherein A1 and R1-R4 are as defined in the description and in the claims. The compound of formula (I) can be used as a medicament.
    Type: Application
    Filed: December 17, 2020
    Publication date: May 6, 2021
    Applicants: HOFFMANN-LA ROCHE INC., EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
    Inventors: Simon M. Ametamey, Luca Gobbi, Uwe Grether, Julian Kretz
  • Patent number: 10996226
    Abstract: A library is provided having a plurality of recombinant derivatives of the SH3 domain of the Fyn kinase of SEQ ID NO: 1, where one or more of the derivatives have a specific binding affinity to a protein or peptide that is not a natural SH3 binding ligand. Substantially each of the derivatives of the SH3 domain of the Fyn kinase of SEQ ID NO: 1 has an amino acid sequence with at least 80% sequence identity to the amino acid sequence of SEQ ID NO: 1, and at least 90% identity to the amino acid of SEQ ID NO: 1 outside the src and RT loops. Additionally, the amino acid sequence has at least one amino acid in or positioned up to two amino acids adjacent to the RT loop or the src loop of SEQ ID NO: 1 which is substituted, deleted or added.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: May 4, 2021
    Assignee: EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH
    Inventors: Dragan Grabulovski, Dario Neri
  • Publication number: 20210115027
    Abstract: The invention relates to a compound of formula (I) wherein A1, A2 and R1-R5 are as defined in the description and in the claims. The compound of formula (I) can be used as a medicament.
    Type: Application
    Filed: December 17, 2020
    Publication date: April 22, 2021
    Applicants: HOFFMANN-LA ROCHE INC., EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
    Inventors: Simon M. Ametamey, Kenneth Atz, Luca Gobbi, Uwe Grether, Wolfgang Guba, Julian Kretz
  • Patent number: 10984558
    Abstract: Techniques are disclosed for image matting. In particular, embodiments decompose the matting problem of estimating foreground opacity into the targeted subproblems of estimating a background using a first trained neural network, estimating a foreground using a second neural network and the estimated background as one of the inputs into the second neural network, and estimating an alpha matte using a third neural network and the estimated background and foreground as two of the inputs into the third neural network. Such a decomposition is in contrast to traditional sampling-based matting approaches that estimated foreground and background color pairs together directly for each pixel. By decomposing the matting problem into subproblems that are easier for a neural network to learn compared to traditional data-driven techniques for image matting, embodiments disclosed herein can produce better opacity estimates than such data-driven techniques as well as sampling-based and affinity-based matting approaches.
    Type: Grant
    Filed: May 9, 2019
    Date of Patent: April 20, 2021
    Assignees: Disney Enterprises, Inc., ETH Zurich (Eidgenoessische Technische Hochschule Zurich)
    Inventors: Tunc Ozan Aydin, Ahmet Cengiz Öztireli, Jingwei Tang, Yagiz Aksoy
  • Patent number: 10970849
    Abstract: According to one implementation, a pose estimation and body tracking system includes a computing platform having a hardware processor and a system memory storing a software code including a tracking module trained to track motions. The software code receives a series of images of motion by a subject, and for each image, uses the tracking module to determine locations corresponding respectively to two-dimensional (2D) skeletal landmarks of the subject based on constraints imposed by features of a hierarchical skeleton model intersecting at each 2D skeletal landmark. The software code further uses the tracking module to infer joint angles of the subject based on the locations and determine a three-dimensional (3D) pose of the subject based on the locations and the joint angles, resulting in a series of 3D poses. The software code outputs a tracking image corresponding to the motion by the subject based on the series of 3D poses.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: April 6, 2021
    Assignees: Disney Enterprises, Inc., ETH Zürich (EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH)
    Inventors: Ahmet Cengiz Öztireli, Prashanth Chandran, Markus Gross
  • Patent number: 10971226
    Abstract: The device provides a resistive memory device for storing elements of hyper-dimensional vectors, in particular digital hyper-dimensional, as conductive statuses in components in particular in 2D-memristors, of the resistive memory device, wherein the resistive memory device provides a first crossbar array of the components, wherein the components are memristive 2D components addressable by word-lines and bit-lines, and a peripheral circuit connected to the word-lines and bit-lines and adapted for encoding operations by activating the word-lines and bit-lines sequentially in a predefined manner.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: April 6, 2021
    Assignees: International Business Machines Corporation, ETH ZURICH (EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH)
    Inventors: Manuel Le Gallo-Bourdeau, Kumudu Geethan Karunaratne, Giovanni Cherubini, Abu Sebastian, Abbas Rahimi, Luca Benini