Adobe, Inc.

Ecolab USA Inc.

Paypal, Inc.

Mks Instruments, Inc.

Rudolph Technologies, Inc.

Xin Sun

Carter Martin Silvernail

Kim R Smith

Nathan Aaron Carr

Thomas R Mohs

Junzhong Li

Richard K Staub

Jimei Yang

Steven James Lange

Zhili Chen

Allison Brewster

Jianming Zhang

Robert J Ryther

Joseph R Wegner

Duygu Ceylan Aksit

Ruben Eduardo Villegas

Walter D Cummings

Jacquilyne Gandara

Steven Eugene Lentsch

Victor Fuk-Pong Man

Erik Christian Olson

Mark Dennis Levitt

Kalyan Krishna Sunkavalli

Vineet Batra

Ankit Phogat

Sohrab Amirghodsi

Derrick Richard Anderson

Janel Marie Kieffer

Li-Yi Wei

Vladimir Kim

Jennifer Stokes

Michal Lukac

Milos Hasan

Kelsey West

Sumit Dhingra

Weidong Wang

Jonathan B Buckheit

Melissa Hunter

Tom T Ho

Nicole Burns

Hao Qin

Jeong Joon Park

Manuel Lagunas Arto

Keith Edward Olson

John A Krueger

Altony J Miralles

Lee J Monsrud

Tamy Boubekeur

He Zhang

Kim R Solomon

Yi Zhou

Yangtuanfeng Wang

Mark Wenger

Erin Brown

Gak Wee Low

Kristen Mills

Julien Philip

Alexandr Kuznetsov

Theo Thonat

Michelle Fung

Yichen Sheng

Qingyang Tan

Beth E Benson

Douglas J Prideaux

Francois Beaune

Julio Marco Murria

Yunseok Jang

Weilun Sun

Michele Lee

Kristin A Mills

The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates object shadows for digital images utilizing corresponding geometry-aware buffer channels. For instance, in one or more embodiments, the disclosed systems generate, utilizing a height prediction neural network, an object height map for a digital object portrayed in a digital image and a background height map for a background portrayed in the digital image. The disclosed systems also generate, from the digital image, a plurality of geometry-aware buffer channels using the object height map and the background height map. Further, the disclosed systems modify the digital image to include a soft object shadow for the digital object using the plurality of geometry-aware buffer channels.

Generating soft object shadows for general shadow receivers within digital images using geometry-aware buffer channels

A concentrated liquid sanitizing and rinse composition containing peroxycarboxylic acid(s) and compatible rinse aid surfactants is disclosed. The sanitizing and rinsing compositions are formulated in a single liquid concentrate, replacing a traditional dual product of a sanitizer and rinse aid. The sanitizing and rinsing chemistries are particularly effective at neutral pHs against gram negative organisms at elevated temperatures. Methods of using the concentrated liquid sanitizing and rinse composition are also disclosed.

Peroxycarboxylic acid based sanitizing rinse additives for use in ware washing

Embodiments are disclosed for performing 3-D vectorization. The method includes obtaining a three-dimensional rendered image and a camera position. The method further includes obtaining a triangle mesh representing the three-dimensional rendered image. The method further involves creating a reduced triangle mesh by removing one or more triangles from the triangle mesh. The method further involves subdividing each triangle of the reduced triangle mesh into one or more subdivided triangles. The method further involves performing a mapping of each pixel of the three-dimensional rendered image to the reduced triangle mesh. The method further involves assigning a color value to each vertex of the reduced triangle mesh. The method further involves sorting each triangle of the reduced triangle mesh using a depth value of each triangle. The method further involves generating a two-dimensional triangle mesh using the sorted triangles of the reduced triangle mesh.

Resolution independent 3-D vectorization for graphic designs

The present invention is related to methods, apparatuses, and compositions for controlling water hardness. The methods, apparatuses and compositions also reduce scale formation. The present invention includes substantially water insoluble resin materials. The resin materials may be loaded with a plurality of cations.

Methods and apparatus for controlling water hardness

Embodiments are disclosed for using machine learning models to perform three-dimensional garment deformation due to character body motion with collision handling. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input, the input including character body shape parameters and character body pose parameters defining a character body, and garment parameters. The disclosed systems and methods further comprise generating, by a first neural network, a first set of garment vertices defining deformations of a garment with the character body based on the input. The disclosed systems and methods further comprise determining, by a second neural network, that the first set of garment vertices includes a second set of garment vertices penetrating the character body. The disclosed systems and methods further comprise modifying, by a third neural network, each garment vertex in the second set of garment vertices to positions outside the character body.

Resolving garment collisions using neural networks

Aspects and features of the present disclosure provide a direct ray tracing operator with a low memory footprint for surfaces enriched with displacement maps. A graphics editing application can be used to manipulate displayed representations of a 3D object that include surfaces with displacement textures. The application creates an independent map of a displaced surface. The application ray-traces bounding volumes on the fly and uses the intersection of a query ray with a bounding volume to produce rendering information for a displaced surface. The rendering information can be used to generate displaced surfaces for various base surfaces without significant re-computation so that updated images can be rendered quickly, in real time or near real time.

Displacement-centric acceleration for ray tracing

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating a modified digital image by identifying patch matches within a digital image utilizing a Gaussian mixture model. For example, the systems described herein can identify sample patches and corresponding matching portions within a digital image. The systems can also identify transformations between the sample patches and the corresponding matching portions. Based on the transformations, the systems can generate a Gaussian mixture model, and the systems can modify a digital image by replacing a target region with target matching portions identified in accordance with the Gaussian mixture model.

Performing patch matching guided by a transformation gaussian mixture model

This disclosure describes methods, non-transitory computer readable storage media, and systems that generate realistic shading for three-dimensional objects inserted into digital images. The disclosed system utilizes a light encoder neural network to generate a representation embedding of lighting in a digital image. Additionally, the disclosed system determines points of the three-dimensional object visible within a camera view. The disclosed system generates a self-occlusion map for the digital three-dimensional object by determining whether fixed sets of rays uniformly sampled from the points intersects with the digital three-dimensional object. The disclosed system utilizes a generator neural network to determine a shading map for the digital three-dimensional object based on the representation embedding of lighting in the digital image and the self-occlusion map. Additionally, the disclosed system generates a modified digital image with the three-dimensional object inserted into the digital image with consistent lighting of the three-dimensional object and the digital image.

Inserting three-dimensional objects into digital images with consistent lighting via global and local lighting information

Introduced here are techniques for relighting an image by automatically segmenting a human object in an image. The segmented image is input to an encoder that transforms it into a feature space. The feature space is concatenated with coefficients of a target illumination for the image and input to an albedo decoder and a light transport detector to predict an albedo map and a light transport matrix, respectively. In addition, the output of the encoder is concatenated with outputs of residual parts of each decoder and fed to a light coefficients block, which predicts coefficients of the illumination for the image. The light transport matrix and predicted illumination coefficients are multiplied to obtain a shading map that can sharpen details of the image. Scaling the resulting image by the albedo map to produce the relight image. The relight image can be refined to denoise the relight image.

End-to-end relighting of a foreground object technical

The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize hemispherical clamping for importance sampling of an image-based light (IBL) to generate a digital image of a virtual environment. For example, the disclosed systems identify a hemispherical portion of an IBL image that corresponds to a reflective surface location on a virtual object. The disclosed systems can then clamp the IBL image using one or more importance sampling algorithms to exclude portions of the IBL image outside of the hemispherical portion that do not contribute direct lighting onto the reflective surface location. The disclosed systems can further utilize the one or more importance sampling algorithms to efficiently sample a ray direction between the reflective surface location and the hemispherical portion of the IBL image. In certain embodiments, the disclosed systems use the sampled ray direction to generate a digital image rendering portraying the virtual object.

Utilizing hemispherical clamping for importance sampling of image-based light to render a virtual environment

End-to-end relighting of a foreground object of an image

A multi-layer light source includes an emissive layer and a textured lighting gel layer, the lighting gel layer being situated between the emissive layer and a 2D canvas or a 3D object. User inputs controlling the multi-layer light source are received, these user inputs being provided with the user interacting with the 2D canvas without switching to editing in 3D space. The multi-layer light source is configured based on the user inputs and, based on the configuration, emission of light rays from the multi-layer light source is determined. Areas of shadows cast by 3D objects are also determined. An image generation system determines, a color of a location (e.g., a pixel) on the 2D canvas or the 3D object that a light ray intersects based on the color that is in the lighting gel layer that the light ray passes through.

Multi-layer lighting source with textured lighting gel layer

In some embodiments, a computing device uses a blue noise sampling operation to identify source pixels from an input image defining respective pixel sets. Each pixel set is associated with a respective weight matrix for a down-scaling operation. The blue noise sampling operation causes an overlap region between first and second pixel sets. The computing device assigns an overlap pixel in the overlap region to the first weight matrix based on the overlap pixel being closer to the first source pixel. The computing device modifies the second weight matrix to exclude the overlap pixel from a portion of the down-scaling operation involving the second weight matrix. The computing device performs the down-scaling operation on the input image by combining the first pixel set into a first target pixel with the first weight matrix and combining the second pixel set into a second target with the modified second weight matrix.

Image down-scaling with pixel sets selected via blue noise sampling

The present invention comprises chlorinated and non-chlorinated alkaline cleaning compositions for removal of proteinaceous and fatty soils at low temperature, i.e. less than 120&#xb0; F., with little or no deleterious affect on cleaning performance. According to the invention, applicants have found that adding additional alkalinity makes protein removal more difficult and reducing the amount of alkalinity actually improves performance. According to the invention optimized combinations of chlorine and alkalinity components for low temperature cleaning as well as a surfactant system optimized for low temperature fatty soil removal are disclosed.

Moderately alkaline cleaning compositions for proteinaceous and fatty soil removal at low temperatures

Growing community of inventors

Santa Clara, CA, United States of America

Xin Sun