Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating modified digital images utilizing a guided inpainting approach that implements a patch match model informed by a deep visual guide. In particular, the disclosed systems can utilize a visual guide algorithm to automatically generate guidance maps to help identify replacement pixels for inpainting regions of digital images utilizing a patch match model. For example, the disclosed systems can generate guidance maps in the form of structure maps, depth maps, or segmentation maps that respectively indicate the structure, depth, or segmentation of different portions of digital images. Additionally, the disclosed systems can implement a patch match model to identify replacement pixels for filling regions of digital images according to the structure, depth, and/or segmentation of the digital images.

Abstract: Methods and systems are disclosed for applying augmented reality animations to an image. The methods and systems access an image and select an augmented reality (AR) experience to apply to the image, the AR experience comprising one or more AR element animations. The methods and systems repeatedly apply the AR experience to the image over a specified time interval to overlay the one or more AR element animations on the image. The methods and systems generate a video having a duration corresponding to the specified time interval in response to repeatedly applying the AR experience to the image, the video depicting the one or more AR element animations on the image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating modified digital images utilizing a guided inpainting approach that implements a patch match model informed by a deep visual guide. In particular, the disclosed systems can utilize a visual guide algorithm to automatically generate guidance maps to help identify replacement pixels for inpainting regions of digital images utilizing a patch match model. For example, the disclosed systems can generate guidance maps in the form of structure maps, depth maps, or segmentation maps that respectively indicate the structure, depth, or segmentation of different portions of digital images. Additionally, the disclosed systems can implement a patch match model to identify replacement pixels for filling regions of digital images according to the structure, depth, and/or segmentation of the digital images.

Abstract: Inpainting dispatch techniques for digital images are described. In one or more examples, an inpainting system includes a plurality of inpainting modules. The inpainting modules are configured to employ a variety of different techniques, respectively, as part of performing an inpainting operation. An inpainting dispatch module is also included as part of the inpainting system that is configured to select which of the plurality of inpainting modules are to be used to perform an inpainting operation for one or more regions in a digital image, automatically and without user intervention.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for inpainting digital images utilizing mask-robust machine-learning models. In particular, in one or more embodiments, the disclosed systems obtain an initial mask for an object depicted in a digital image. Additionally, in some embodiments, the disclosed systems generate, utilizing a mask-robust inpainting machine-learning model, an inpainted image from the digital image and the initial mask. Moreover, in some implementations, the disclosed systems generate a relaxed mask that expands the initial mask. Furthermore, in some embodiments, the disclosed systems generate a modified image by compositing the inpainted image and the digital image utilizing the relaxed mask.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating neural network based perceptual artifact segmentations in synthetic digital image content. The disclosed system utilizing neural networks to detect perceptual artifacts in digital images in connection with generating or modifying digital images. The disclosed system determines a digital image including one or more synthetically modified portions. The disclosed system utilizes an artifact segmentation machine-learning model to detect perceptual artifacts in the synthetically modified portion(s). The artifact segmentation machine-learning model is trained to detect perceptual artifacts based on labeled artifact regions of synthetic training digital images. Additionally, the disclosed system utilizes the artifact segmentation machine-learning model in an iterative inpainting process. The disclosed system utilizes one or more digital image inpainting models to inpaint in a digital image.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating neural network based perceptual artifact segmentations in synthetic digital image content. The disclosed system utilizing neural networks to detect perceptual artifacts in digital images in connection with generating or modifying digital images. The disclosed system determines a digital image including one or more synthetically modified portions. The disclosed system utilizes an artifact segmentation machine-learning model to detect perceptual artifacts in the synthetically modified portion(s). The artifact segmentation machine-learning model is trained to detect perceptual artifacts based on labeled artifact regions of synthetic training digital images. Additionally, the disclosed system utilizes the artifact segmentation machine-learning model in an iterative inpainting process. The disclosed system utilizes one or more digital image inpainting models to inpaint in a digital image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating modified digital images utilizing a guided inpainting approach that implements a patch match model informed by a deep visual guide. In particular, the disclosed systems can utilize a visual guide algorithm to automatically generate guidance maps to help identify replacement pixels for inpainting regions of digital images utilizing a patch match model. For example, the disclosed systems can generate guidance maps in the form of structure maps, depth maps, or segmentation maps that respectively indicate the structure, depth, or segmentation of different portions of digital images. Additionally, the disclosed systems can implement a patch match model to identify replacement pixels for filling regions of digital images according to the structure, depth, and/or segmentation of the digital images.

Abstract: A preparation method of a crosslinking-type aqueous binder for lithium-ion batteries. An organic carboxylic group-, amino group- or hydroxyl group-containing hydrophilic polymer, and a hydroxyl group-, amine group- or carboxyl group-containing water-soluble small-molecule crosslinker, both serve as starting materials of the aqueous binder, and can be crosslinked by esterification or amidation under coating and drying conditions of lithium-ion battery electrode slurry. The preparation method of the crosslinking-type aqueous binder is simple, without the need of modifying the current process or conditions for lithium-ion battery manufacture. The obtained electrodes have excellent binding capacity, flexibility, and elasticity.

Abstract: A multi-functionally modified polymer binder for lithium ion batteries, which is prepared by a free radical graft copolymerization or a Michael addition reaction, with a biomass polymer or a synthetic polymer as a substrate, and a hydrophilic monomer and a lipophilic monomer as functionally modifying monomers. The binder presents a three-dimensional network body with a multi-branch structure, provides more active cites for contacting with the electrode active materials, improves uniformity and flatness in the formation of films from electrode slurry, enhances the binding strength between the electrode active materials, the conductive agents and the current collector, has high elasticity and binding strength, and is applicable in water/organic solvent. Use of the binder in positive electrodes and negative electrodes can facilitate the conduction of electrons/ions during charging and discharging, reduce the electrochemical interface impedance of the electrodes.

Abstract: A preparation method of a crosslinking-type aqueous binder for lithium-ion batteries. An organic carboxylic group-, amino group- or hydroxyl group-containing hydrophilic polymer, and a hydroxyl group-, amine group- or carboxyl group-containing water-soluble small-molecule crosslinker, both serve as starting materials of the aqueous binder, and can be crosslinked by esterification or amidation under coating and drying conditions of lithium-ion battery electrode slurry. The preparation method of the crosslinking-type aqueous binder is simple, without the need of modifying the current process or conditions for lithium-ion battery manufacture. The obtained electrodes have excellent binding capacity, flexibility, and elasticity.

Abstract: A multi-functionally modified polymer binder for lithium ion batteries, which is prepared by a free radical graft copolymerization or a Michael addition reaction, with a biomass polymer or a synthetic polymer as a substrate, and a hydrophilic monomer and a lipophilic monomer as functionally modifying monomers. The binder presents a three-dimensional network body with a multi-branch structure, provides more active cites for contacting with the electrode active materials, improves uniformity and flatness in the formation of films from electrode slurry, enhances the binding strength between the electrode active materials, the conductive agents and the current collector, has high elasticity and binding strength, and is applicable in water/organic solvent.

Abstract: The present invention relates to a terpene resin-based composite binder for the preparation of electrodes of lithium-ion battery cathode or supercapacitor. The terpene resin-based composite binder is a terpene resin-based aqueous binder or a terpene resin-based oil binder; the terpene resin-based aqueous binder comprises a water-soluble terpene resin emulsion and a water-soluble polymer auxiliary agent, the water-soluble polymer auxiliary agent is one or more selected from the group of carboxymethyl cellulose, polyacrylic acid or metal salts, a mass ratio of a terpene resin in the water-soluble terpene resin emulsion to the water-soluble polymer auxiliary agent is 50:1 to 1:50; the terpene resin-based oil binder comprises an oil-soluble terpene resin and an oil-soluble polymer auxiliary agent, the oil-soluble polymer auxiliary agent is a polyvinylidene fluoride, a mass ratio of the oil-soluble terpene resin to the polyvinylidene fluoride ranges from 1:4 to 1:50.

Abstract: The disclosure provides diagnostic and therapeutic agents for chronic lymphocytic leukemia (CLL). Further provided are biomarkers and a biomarker panel comprising G-protein coupled receptors (GPCRs) specifically expressed by CLL cells. Methods for diagnosing a disease stage of a CLL patient, progression, or prediction of clinical course and drug selection for the CLL patient, as well as methods for treating CLL, by targeting these GPCR biomarkers are also provided.

Abstract: A method of preparing an anode of lithium ion batteries or an electrode plate of a supercapacitor. The method includes admixing a terpene resin-based aqueous binder. The terpene resin-based aqueous binder includes a terpene resin emulsion including between 20 and 80 wt. % of a terpene resin, and the terpene resin emulsion has a viscosity of between 2000 and 10000 mPa·s.

Abstract: A method for preparation of an organohalosilane represented by formula I is disclosed. The method comprises: contacting an alcohol with metal sodium to yield a sodium alcoholate; contacting the sodium alcoholate with a halogen silane compound for an etherification reaction; and adding dropwise a fluorinating agent for a fluorination reaction. The organohalosilane is used for preparation of an electrolyte solution of a non-aqueous lithium ion battery.

Abstract: The present invention discloses a process for preparing a functionalized choline chloride ionic liquid as defined in formula (I), and thereof use in an electrochemical energy storage device, as an electrolyte solution or an additive for a lithium ion battery and a supercapacitor. The ionic liquid electrolyte material has better biocompatibility, flame retardance, high ionic conductivity, low viscosity, and wide electrochemical window. wherein R1 is selected from the group consisting of: (CH2?CH—(CH2)n)—, CN(CH2)n—, or R23Si—; R2 is selected from CH3—(CH2)m—, n is an integer selected from 1 to 3, m is an integer selected from 0 to 2; or one of R2 is (CH3)3Si—O—. Anion A in Formula I is selected from the group consisting of: Cl?, Br?, I?, BF4?, NO3?, SO42?, CF3COO?, CF3SO3?, (CF3SO2)2N?, PF6?, BF2C2O4?, or B(C2O4)2?.

Abstract: Disclosed is an aqueous composite binder of natural polymer derivative-conducting polymer. The composite binder comprises a natural polymer derivative and a water-soluble conducting polymer at a mass ratio of 1:3.75 to 1:0.038. The composite binder can be used for a conducting electrode material and a binder material of an electrochemical energy storage device, in particular for manufacturing a lithium ion battery, a capacitor or other energy storage system. Also disclosed are a plate electrode for an enemy storage device containing the composite binder and an energy storage device containing the plate electrode.

Abstract: Provided is a catalytic article comprising (a) a flow through honeycomb substrate having channel walls; (b) a first NH3-SCR catalyst composition coated on and/or within the channel walls in a first zone; and (c) a second NH3-SCR catalyst composition coated on and/or within the channel walls in a second zone, provided that the first zone is upstream of the second zone and the first and second zones are adjacent or at least partially overlap; and wherein the first NH3-SCR catalyst comprises a first copper loaded molecular sieve having a copper to aluminum atomic ratio of about 0.1 to 0.375 and the second NH3-SCR catalyst comprises a second copper loaded molecular sieve having a copper-to-aluminum atomic ratio of about 0.3 to about 0.6.

Abstract: The disclosure provides diagnostic and therapeutic agents for chronic lymphocytic leukemia (CLL). Further provided are biomarkers and a biomarker panel comprising G-protein coupled receptors (GPCRs) specifically expressed by CLL cells. Methods for diagnosing a disease stage of a CLL patient, progression, or prediction of clinical course and drug selection for the CLL patient, as well as methods for treating CLL, by targeting these GPCR biomarkers are also provided.