Abstract: In various embodiments, a training application generates training items for three-dimensional (3D) pose estimation. The training application generates multiple posed 3D models based on multiple 3D poses and a 3D model of a person wearing a costume that is associated with multiple visual attributes. For each posed 3D model, the training application performs rendering operation(s) to generate synthetic image(s). For each synthetic image, the training application generates a training item based on the synthetic image and the 3D pose associated with the posed 3D model from which the synthetic image was rendered. The synthetic images are included in a synthetic training dataset that is tailored for training a machine-learning model to compute estimated 3D poses of persons from two-dimensional (2D) input images. Advantageously, the synthetic training dataset can be used to train the machine-learning model to accurately infer the orientations of persons across a wide range of environments.

Abstract: An additive for producing a hardenable building material, especially a mineral composition comprising clays, comprising or consisting of: a) a dispersing agent, selected from aluminates, aluminate precursors, phosphates, silicates and/or polyacrylates, which is capable of dispersing clay particles in an aqueous slurry, and b) a coagulating agent, selected from salts of divalent metal cations, preferably salts of alkaline earth metals and/or iron, especially magnesium, calcium and/or iron salts, capable of causing clay particles to agglomerate in a aqueous slurry.

Abstract: A diffractometric sensing device for analyzing molecular interactions is described, the diffractometric sensing device comprising a transparent carrier medium, the carrier medium comprising a grating structure (42.1-42.5) with a plurality of consecutive surfaces or lines and a plurality of binding sites arranged thereon, the binding sites being configured to interact with one or more target molecules, wherein the grating structure is configured to diffract a portion of coherent light propagating in the carrier medium so as to produce a constructive interference signal at a light detector (4.1-4.4), the signal being dependent on molecular interactions at or in the vicinity of the binding sites. The invention offers more sensitivity, faster response, miniaturization, easy manufacturing and more applications compared to current diffractometric sensing devices.

Abstract: Techniques are disclosed for creating digital faces. In some examples, an anatomical face model is generated from a data set including captured facial geometries of different individuals and associated bone geometries. A model generator segments each of the captured facial geometries into patches, compresses the segmented geometry associated with each patch to determine local deformation subspaces of the anatomical face model, and determines corresponding compressed anatomical subspaces of the anatomical face model. A sculpting application determines, based on sculpting input from a user, constraints for an optimization to determine parameter values associated with the anatomical face model. The parameter values can be used, along with the anatomical face model, to generate facial geometry that reflects the sculpting input.

Abstract: A virtual puppeteering system includes a portable device including a camera, a display, a hardware processor, and a system memory storing an object animation software code. The hardware processor is configured to execute the object animation software code to, using the camera, generate an image in response to receiving an activation input, using the display, display the image, and receive a selection input selecting an object shown in the image. The hardware processor is further configured to execute the object animation software code to determine a distance separating the selected object from the portable device, receive an animation input, identify, based on the selected object and the received animation input, a movement for animating the selected object, generate an animation of the selected object using the determined distance and the identified movement, and render the animation of the selected object.

Abstract: A method of generating a training data set for training an image matting machine learning model includes receiving a plurality of foreground images, generating a plurality of composited foreground images by compositing randomly selected foreground images from the plurality of foreground images, and generating a plurality of training images by compositing each composited foreground image with a randomly selected background image. The training data set includes the plurality of training images.

Abstract: A modeling engine generates a prediction model that quantifies and predicts secondary dynamics associated with the face of a performer enacting a performance. The modeling engine generates a set of geometric representations that represents the face of the performer enacting different facial expressions under a range of loading conditions. For a given facial expression and specific loading condition, the modeling engine trains a Machine Learning model to predict how soft tissue regions of the face of the performer change in response to external forces applied to the performer during the performance. The modeling engine combines different expression models associated with different facial expressions to generate a prediction model. The prediction model can be used to predict and remove secondary dynamics from a given geometric representation of a performance or to generate and add secondary dynamics to a given geometric representation of a performance.

Abstract: Disclosed is a thermochemical reactor system and method for a temperature swing cyclic process with integrated heat recovery having at least two modules, wherein each module includes at least one chemical reaction zone and at least one thermal energy storage unit. The at least two modules are operationally connected for at least one heat transfer fluid for transporting heat between the two modules. Each chemical reaction zone includes at least one reacting material that undergoes in a reversible manner an endothermic reaction at temperature Tendo and an exothermic reaction at temperature Texo, wherein Tendo and Texo differ from each other. The at least one reacting material is provided in at least one encapsulation within each of the chemical reaction zones such that a contact of the reacting material and the at least one heat transfer fluid is avoided.

Abstract: In various embodiments, a relevance application quantifies how a trained neural network operates. In operation, the relevance application generates a set of input distributions based on a set of input points associated with the trained neural network. Each input distribution is characterized by a mean and a variance associated with a different neuron included in the trained neural network. The relevance application propagates the set of input distributions through a probabilistic neural network to generate at least a first output distribution. The probabilistic neural network is derived from at least a portion of the trained neural network. Based on the first output distribution, the relevance application computes a contribution of a first input point included in the set of input points to a difference between a first output point associated with a first output of the trained neural network and an estimated mean prediction associated with the first output.

Abstract: Techniques are disclosed for changing the identities of faces in images. In embodiments, a tunable model for changing facial identities in images includes an encoder, a decoder, and dense layers that generate either adaptive instance normalization (AdaIN) coefficients that control the operation of convolution layers in the decoder or the values of weights within such convolution layers, allowing the model to change the identity of a face in an image based on a user selection. A separate set of dense layers may be trained to generate AdaIN coefficients for each of a number of facial identities, and the AdaIN coefficients output by different sets of dense layers can be combined to interpolate between facial identities. Alternatively, a single set of dense layers may be trained to take as input an identity vector and output AdaIN coefficients or values of weighs within convolution layers of the decoder.

Abstract: One embodiment of the present invention sets forth a technique for performing deinterlacing. The technique includes separating a first interlaced video frame into a first sequence of fields ordered by time, the first sequence of fields including a first field. The technique also includes generating, by applying a deinterlacing network to a first field in the first sequence, a second field that is missing from the first sequence of fields and is complementary to the first field. The technique further includes constructing a progressive video frame based on the first field and the second field.

Abstract: In a method for aromatizing an alicyclic region of a cannabinoid, especially in enantiopure, scalemic and/or racemic form, in particular for aromatizing the cyclohexene group in ?9-THC-C5, ?9-THCA-C5 A, ?9-THCV-C3, ?9-THCVA-C5 A, and/or scalemic or racemic mixtures of these substances, wherein an oxidizing agent is added to the cannabinoid, sulfur is used as the oxidizing agent.

Abstract: A method and system for propelling and controlling displacement of a microrobot in a space having a wall, includes the steps of: forming the microrobot with a body containing a magnetic field-of-force responsive material, wherein, in response to a magnetic field of force, a force is applied to the material in a direction of the magnetic field of force; positioning the microrobot in the space for displacement in that space; and generating the magnetic field of force with a predetermined gradient and applying the magnetic field of force to the microrobot propelling the microrobot through the space in a direction of a field of force. Then, a sequence of field generating steps are executed, wherein each step includes calculating the direction, amplitude and spatial variation of the net field of force to control displacement of the microrobot in the space and against the wall from one equilibrium point to another.

Abstract: A terahertz device includes a first waveguide, which is a plasmonic waveguide, having a first core with a nonlinear material, such as a ferroelectric material, and having a cladding with a first cladding portion including, at a first interface with the first core, a first cladding material that is an electrically conductive material. The terahertz device can include an antenna having a first and a second arm (for receiving or for emitting or for both, receiving and emitting electromagnetic waves in the terahertz range); a first and a second electrode arranged close to the first waveguide.

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.

Abstract: An endoscope for inspection of the gastrointestinal tract of a mammal, in particular of the small intestine of a human, includes an elongated, flexible tubular structure and a flexible, elongated element placed inside the tubular structure such that a distal portion of the elongated element protrudes from a distal end of the tubular structure and is connected to an endoscopic tip, wherein the elongated element is engaged with the tubular structure in such way that a rotation of the tubular structure around the elongated element in a first rotation direction will increase a gap between the endoscopic tip and the distal end, while a rotation of the tubular structure around the elongated element in a second rotation direction, opposite to the first rotation direction, will decrease the gap between the endoscopic tip and the distal end.

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.

Abstract: The invention provides new radiolabeled monoacylglycerol lipase (MAGL) inhibitors that are useful for medical imaging, such as positron-emission tomography (PET), single-photon emission computed tomography (SPECT) and/or autoradiography.

Abstract: The invention relates to a method for preparing a polymer scaffold that comprises the steps of providing a piece of a fabric of filaments of a first biodegradable or biocompatible polymer, applying a coating of a second polymer to said arrangement of filaments, and stretching the piece along its axis of longitudinal extension, thereby obtaining an aligned microfibrillar scaffold. The invention further relates to a method for providing an artificial tissue, and to a microfibrillar scaffold of aligned filaments obtained by the method of the invention.

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.