Patents by Inventor Paulo Fabiano Urnau Gotardo
Paulo Fabiano Urnau Gotardo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230260186Abstract: Embodiments of the present disclosure are directed to methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Methods accord to embodiments may be useful for performing facial capture on subjects with dense facial hair. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject’s face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).Type: ApplicationFiled: January 27, 2023Publication date: August 17, 2023Applicants: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)Inventors: Sebastian Winberg, Prashanth Chandran, Paulo Fabiano Urnau Gotardo, Gaspard Zoss, Derek Edward Bradley
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Publication number: 20230252714Abstract: One embodiment of the present invention sets forth a technique for performing shape and appearance reconstruction. The technique includes generating a first set of renderings associated with an object based on a set of parameters that represent a reconstruction of the object in a first target image. The technique also includes producing, via a neural network, a first set of corrections associated with at least a portion of the set of parameters based on the first target image and the first set of renderings. The technique further includes generating an updated reconstruction of the object based on the first set of corrections.Type: ApplicationFiled: February 10, 2022Publication date: August 10, 2023Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Christopher Andreas OTTO, Agon SERIFI, Gaspard ZOSS
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Publication number: 20230237753Abstract: Embodiments of the present disclosure are directed to methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Methods accord to embodiments may be useful for performing facial capture on subjects with dense facial hair. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject's face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).Type: ApplicationFiled: January 27, 2023Publication date: July 27, 2023Applicants: Disney Enterprises, Inc., ETH Zürich (Eidgenössische Technische Hochschule Zürich)Inventors: Derek Edward Bradley, Paulo Fabiano Urnau Gotardo, Gaspard Zoss, Prashanth Chandran, Sebastian Winberg
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Publication number: 20230196664Abstract: Various embodiments include a system for rendering an object, such as human skin or a human head, from captured appearance data. The system includes a processor executing a near field lighting reconstruction module. The system determines at least one of a three-dimensional (3D) position or a 3D orientation of a lighting unit based on a plurality of captured images of a mirror sphere. For each point light source in a plurality of point light sources included in the lighting unit, the system determines an intensity associated with the point light source. The system determines captures appearance data of the object, where the object is illuminated by the lighting unit. The system renders an image of the object based on the appearance data and the intensities associated with each point light source in the plurality of point light sources.Type: ApplicationFiled: December 14, 2022Publication date: June 22, 2023Inventors: Paulo Fabiano URNAU GOTARDO, Derek Edward BRADLEY, Gaspard ZOSS, Jeremy RIVIERE, Prashanth CHANDRAN, Yingyan XU
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Publication number: 20230196665Abstract: Various embodiments include a system for rendering an object, such as human skin or a human head, from captured appearance data comprising a plurality of texels. The system includes a processor executing a texture space indirect illumination module. The system determines texture coordinates of a vector originating from a first texel where the vector intersects a second texel. The system renders the second texel from the viewpoint of the first texel based on appearance data at the second texel. Based on the rendering of the second texel, the system determines an indirect lighting intensity incident to the first texel from the second texel. The system updates appearance data at the first texel based on a direct lighting intensity and the indirect lighting intensity. The system renders the first texel based on the updated appearance data at the first texel.Type: ApplicationFiled: December 14, 2022Publication date: June 22, 2023Inventors: Paulo Fabiano URNAU GOTARDO, Derek Edward BRADLEY, Gaspard ZOSS, Jeremy RIVIERE, Prashanth CHANDRAN, Yingyan XU
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Publication number: 20230154090Abstract: A technique for rendering an input geometry includes generating a first segmentation mask for a first input geometry and a first set of texture maps associated with one or more portions of the first input geometry. The technique also includes generating, via one or more neural networks, a first set of neural textures for the one or more portions of the first input geometry. The technique further includes rendering a first image corresponding to the first input geometry based on the first segmentation mask, the first set of texture maps, and the first set of neural textures.Type: ApplicationFiled: November 15, 2021Publication date: May 18, 2023Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Gaspard ZOSS
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Publication number: 20230154089Abstract: A technique for generating a sequence of geometries includes converting, via an encoder neural network, one or more input geometries corresponding to one or more frames within an animation into one or more latent vectors. The technique also includes generating the sequence of geometries corresponding to a sequence of frames within the animation based on the one or more latent vectors. The technique further includes causing output related to the animation to be generated based on the sequence of geometries.Type: ApplicationFiled: November 15, 2021Publication date: May 18, 2023Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Gaspard ZOSS
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Publication number: 20230154101Abstract: Techniques are disclosed for generating photorealistic images of objects, such as heads, from multiple viewpoints. In some embodiments, a morphable radiance field (MoRF) model that generates images of heads includes an identity model that maps an identifier (ID) code associated with a head into two codes: a deformation ID code encoding a geometric deformation from a canonical head geometry, and a canonical ID code encoding a canonical appearance within a shape-normalized space. The MoRF model also includes a deformation field model that maps a world space position to a shape-normalized space position based on the deformation ID code. Further, the MoRF model includes a canonical neural radiance field (NeRF) model that includes a density multi-layer perceptron (MLP) branch, a diffuse MLP branch, and a specular MLP branch that output densities, diffuse colors, and specular colors, respectively. The MoRF model can be used to render images of heads from various viewpoints.Type: ApplicationFiled: November 8, 2022Publication date: May 18, 2023Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Daoye WANG, Gaspard ZOSS
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Publication number: 20230124117Abstract: One embodiment of the present invention sets forth a technique for performing appearance capture. The technique includes receiving a first sequence of images of an object, wherein the first sequence of images includes a first set of images interleaved with a second set of images, and wherein the first set of images is captured based on illumination of the object using a first lighting pattern and the second set of images is captured based on illumination of the object using one or more lighting patterns that are different from the first lighting pattern. The technique also includes generating a first set of appearance parameters associated with the object based on a first inverse rendering associated with the first sequence of images.Type: ApplicationFiled: October 20, 2021Publication date: April 20, 2023Inventors: Paulo Fabiano URNAU GOTARDO, Derek Edward BRADLEY, Jérémy RIVIERE
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Publication number: 20230104702Abstract: A technique for synthesizing a shape includes generating a first plurality of offset tokens based on a first shape code and a first plurality of position tokens, wherein the first shape code represents a variation of a canonical shape, and wherein the first plurality of position tokens represent a first plurality of positions on the canonical shape. The technique also includes generating a first plurality of offsets associated with the first plurality of positions on the canonical shape based on the first plurality of offset tokens. The technique further includes generating the shape based on the first plurality of offsets and the first plurality of positions.Type: ApplicationFiled: February 18, 2022Publication date: April 6, 2023Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Gaspard ZOSS
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Publication number: 20230080639Abstract: Techniques are disclosed for re-aging images of faces and three-dimensional (3D) geometry representing faces. In some embodiments, an image of a face, an input age, and a target age, are input into a re-aging model, which outputs a re-aging delta image that can be combined with the input image to generate a re-aged image of the face. In some embodiments, 3D geometry representing a face is re-aged using local 3D re-aging models that each include a blendshape model for finding a linear combination of sample patches from geometries of different facial identities and generating a new shape for the patch at a target age based on the linear combination. In some embodiments, 3D geometry representing a face is re-aged by performing a shape-from-shading technique using re-aged images of the face captured from different viewpoints, which can optionally be constrained to linear combinations of sample patches from local blendshape models.Type: ApplicationFiled: September 13, 2021Publication date: March 16, 2023Inventors: Gaspard ZOSS, Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Eftychios SIFAKIS
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Publication number: 20220374649Abstract: Various embodiments set forth systems and techniques for changing a face within an image. The techniques include receiving a first image including a face associated with a first facial identity; generating, via a machine learning model, at least a first texture map and a first position map based on the first image; rendering a second image including a face associated with a second facial identity based on the first texture map and the first position map, wherein the second facial identity is different from the first facial identity.Type: ApplicationFiled: September 24, 2021Publication date: November 24, 2022Inventors: Jacek Krzysztof NARUNIEC, Derek Edward BRADLEY, Paulo Fabiano Urnau GOTARDO, Leonhard Markus HELMINGER, Christopher Andreas OTTO, Christopher Richard SCHROERS, Romann Matthew WEBER
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Publication number: 20220301348Abstract: Embodiment of the present invention sets forth techniques for performing face reconstruction. The techniques include generating an identity mesh based on an identity encoding that represents an identity associated with a face in one or more images. The techniques also include generating an expression mesh based on an expression encoding that represents an expression associated with the face in the one or more images. The techniques also include generating, by a machine learning model, an output mesh of the face based on the identity mesh and the expression mesh.Type: ApplicationFiled: March 17, 2022Publication date: September 22, 2022Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Simone FOTI, Paulo Fabiano URNAU GOTARDO, Gaspard ZOSS
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Publication number: 20220237751Abstract: Techniques are disclosed for generating photorealistic images of head portraits. A rendering application renders a set of images that include the skin of a face and corresponding masks indicating pixels associated with the skin in the images. An inpainting application performs a neural projection technique to optimize a set of parameters that, when input into a generator model, produces a set of projection images, each of which includes a head portrait in which (1) skin regions resemble the skin regions of the face in a corresponding rendered image; and (2) non-skin regions match the non-skin regions in the other projection images when the rendered set of images are standalone images, or transition smoothly between consecutive projection images in the case when the rendered set of images are frames of a video. The rendered images can then be blended with corresponding projection images to generate composite images that are photorealistic.Type: ApplicationFiled: November 29, 2021Publication date: July 28, 2022Inventors: Derek Edward BRADLEY, Prashanth CHANDRAN, Paulo Fabiano URNAU GOTARDO, Jeremy RIVIERE, Sebastian Valentin WINBERG, Gaspard ZOSS
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Publication number: 20220156987Abstract: A technique for performing style transfer between a content sample and a style sample is disclosed. The technique includes applying one or more neural network layers to a first latent representation of the style sample to generate one or more convolutional kernels. The technique also includes generating convolutional output by convolving a second latent representation of the content sample with the one or more convolutional kernels. The technique further includes applying one or more decoder layers to the convolutional output to produce a style transfer result that comprises one or more content-based attributes of the content sample and one or more style-based attributes of the style sample.Type: ApplicationFiled: April 6, 2021Publication date: May 19, 2022Inventors: Prashanth CHANDRAN, Derek Edward BRADLEY, Paulo Fabiano URNAU GOTARDO, Gaspard ZOSS
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Publication number: 20220092293Abstract: Techniques are disclosed for capturing facial appearance properties. In some examples, a facial capture system includes light source(s) that produce linearly polarized light, at least one camera that is cross-polarized with respect to the polarization of light produced by the light source(s), and at least one other camera that is not cross-polarized with respect to the polarization of the light produced by the light source(s). Images captured by the cross-polarized camera(s) are used to determine facial appearance properties other than specular intensity, such as diffuse albedo, while images captured by the camera(s) that are not cross-polarized are used to determine facial appearance properties including specular intensity. In addition, a coarse-to-fine optimization procedure is disclosed for determining appearance and detailed geometry maps based on images captured by the cross-polarized camera(s) and the camera(s) that are not cross-polarized.Type: ApplicationFiled: December 2, 2021Publication date: March 24, 2022Inventors: Jeremy RIVIERE, Paulo Fabiano URNAU GOTARDO, Abhijeet GHOSH, Derek Edward BRADLEY, Dominik Thabo BEELER
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Patent number: 11222466Abstract: 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: GrantFiled: September 30, 2020Date of Patent: January 11, 2022Assignees: 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