Abstract: A method includes determining, based on an image having an initial viewpoint, a depth image, and determining a foreground visibility map including visibility values that are inversely proportional to a depth gradient of the depth image. The method also includes determining, based on the depth image, a background disocclusion mask indicating a likelihood that pixel of the image will be disoccluded by a viewpoint adjustment. The method additionally includes generating, based on the image, the depth image, and the background disocclusion mask, an inpainted image and an inpainted depth image. The method further includes generating, based on the depth image and the inpainted depth image, respectively, a first three-dimensional (3D) representation of the image and a second 3D representation of the inpainted image, and generating a modified image having an adjusted viewpoint by combining the first and second 3D representation based on the foreground visibility map.

Abstract: The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Abstract: The present disclosure provides a statistical, articulated 3D human shape modeling pipeline within a fully trainable, modular, deep learning framework. In particular, aspects of the present disclosure are directed to a machine-learned 3D human shape model with at least facial and body shape components that are jointly trained end-to-end on a set of training data. Joint training of the model components (e.g., including both facial, hands, and rest of body components) enables improved consistency of synthesis between the generated face and body shapes.

Abstract: A computer-implemented method for decomposing videos into multiple layers (212, 213) that can be re-combined with modified relative timings includes obtaining video data including a plurality of image frames (201) depicting one or more objects. For each of the plurality of frames, the computer-implemented method includes generating one or more object maps descriptive of a respective location of at least one object of the one or more objects within the image frame. For each of the plurality of frames, the computer-implemented method includes inputting the image frame and the one or more object maps into a machine-learned layer Tenderer model. (220) For each of the plurality of frames, the computer-implemented method includes receiving, as output from the machine-learned layer Tenderer model, a background layer illustrative of a background of the video data and one or more object layers respectively associated with one of the one or more object maps.

Abstract: Methods and systems for, among other embodiments, transporting renewable diesel (RD) through a pipeline, or a portion thereof, are provided. In certain embodiments, the method may include transporting the renewable diesel from a first pipeline terminal to a second pipeline terminal, the renewable diesel wrapped head and tail with a compatible diesel fuel. The method may also include restricting the transport of the diesel fuel in the pipeline to diesel fuel compositions having a first composition or first specification, the first composition or first specification characterized by a selected amount of the renewable diesel, or a component thereof, the selected amount being less than the selected amount allowed in a second target specification for the diesel fuel.

Abstract: Methods and systems for, among other embodiments, transporting renewable diesel (RD) through a pipeline, or a portion thereof, are provided. In certain embodiments, the method may include transporting the renewable diesel from a first pipeline terminal to a second pipeline terminal, the renewable diesel wrapped head and tail with a compatible diesel fuel. The method may also include restricting the transport of the diesel fuel in the pipeline to diesel fuel compositions having a first composition or first specification, the first composition or first specification characterized by a selected amount of the renewable diesel, or a component thereof, the selected amount being less than the selected amount allowed in a second target specification for the diesel fuel.

Abstract: Polymerizable compositions comprising a radically polymerizable resin can be polymerized in the absence of a peroxide initiator and other undesirable components. The polymerizable compositions and methods employ a manganese- or iron-containing salt or organic complex and a 1,3-dioxo compound with one or more other components. The polymerizable compositions have better storage stability and reduced gel time-drift.

Abstract: Methods and systems for, among other embodiments, transporting renewable diesel (RD) through a pipeline, or a portion thereof, are provided. In certain embodiments, the method may include transporting the renewable diesel from a first pipeline terminal to a second pipeline terminal, the renewable diesel wrapped head and tail with a compatible diesel fuel. The method may also include restricting the transport of the diesel fuel in the pipeline to diesel fuel compositions having a first composition or first specification, the first composition or first specification characterized by a selected amount of the renewable diesel, or a component thereof, the selected amount being less than the selected amount allowed in a second target specification for the diesel fuel.

Abstract: A method includes determining, based on an image having an initial viewpoint, a depth image, and determining a foreground visibility map including visibility values that are inversely proportional to a depth gradient of the depth image. The method also includes determining, based on the depth image, a background disocclusion mask indicating a likelihood that pixel of the image will be disoccluded by a viewpoint adjustment. The method additionally includes generating, based on the image, the depth image, and the background disocclusion mask, an inpainted image and an inpainted depth image. The method further includes generating, based on the depth image and the inpainted depth image, respectively, a first three-dimensional (3D) representation of the image and a second 3D representation of the inpainted image, and generating a modified image having an adjusted viewpoint by combining the first and second 3D representation based on the foreground visibility map.

Abstract: A method includes determining, based on a first image, a first depth of a first pixel and, based on a second image, a second depth of a second pixel that corresponds to the first pixel. The method also includes determining a first 3D point based on the first depth and a second 3D point based on the second depth, and determining a scene flow between the first and second images. The method additionally includes determining an induced pixel position based on a post-flow 3D point representing the first 3D point displaced according to the scene flow, determining a flow loss value based on the induced pixel position and a position of the second pixel and a depth loss value based on the post-flow 3D point and the second 3D point, and adjusting the depth model or the scene flow model based on the flow and depth loss values.

Abstract: Methods and systems for, among other embodiments, transporting renewable diesel (RD) through a pipeline, or a portion thereof, are provided. In certain embodiments, the method may include transporting the renewable diesel from a first pipeline terminal to a second pipeline terminal, the renewable diesel wrapped head and tail with a compatible diesel fuel. The method may also include restricting the transport of the diesel fuel in the pipeline to diesel fuel compositions having a first composition or first specification, the first composition or first specification characterized by a selected amount of the renewable diesel, or a component thereof, the selected amount being less than the selected amount allowed in a second target specification for the diesel fuel.

Abstract: Methods and systems for, among other embodiments, transporting renewable diesel (RD) through a pipeline, or a portion thereof, are provided. In certain embodiments, the method may include transporting the renewable diesel from a first pipeline terminal to a second pipeline terminal, the renewable diesel wrapped head and tail with a compatible diesel fuel. The method may also include restricting the transport of the diesel fuel in the pipeline to diesel fuel compositions having a first composition or first specification, the first composition or first specification characterized by a selected amount of the renewable diesel, or a component thereof, the selected amount being less than the selected amount allowed in a second target specification for the diesel fuel.

Abstract: Methods and systems for, among other embodiments, transporting renewable diesel (RD) through a pipeline, or a portion thereof, are provided. In certain embodiments, the method may include transporting the renewable diesel from a first pipeline terminal to a second pipeline terminal, the renewable diesel wrapped head and tail with a compatible diesel fuel. The method may also include restricting the transport of the diesel fuel in the pipeline to diesel fuel compositions having a first composition or first specification, the first composition or first specification characterized by a selected amount of the renewable diesel, or a component thereof, the selected amount being less than the selected amount allowed in a second target specification for the diesel fuel.

Abstract: Polymerizable compositions comprising a radically polymerizable resin can be polymerized in the absence of a peroxide initiator and other undesirable components. The polymerizable compositions and methods employ a manganese- or iron-containing salt or organic complex and a 1,3-dioxo compound with one or more other components. The polymerizable compositions have better storage stability and reduced gel time-drift.

Abstract: A computer-implemented method for decomposing videos into multiple layers (212, 213) that can be re-combined with modified relative timings includes obtaining video data including a plurality of image frames (201) depicting one or more objects. For each of the plurality of frames, the computer-implemented method includes generating one or more object maps descriptive of a respective location of at least one object of the one or more objects within the image frame. For each of the plurality of frames, the computer-implemented method includes inputting the image frame and the one or more object maps into a machine-learned layer Tenderer model. (220) For each of the plurality of frames, the computer-implemented method includes receiving, as output from the machine-learned layer Tenderer model, a background layer illustrative of a background of the video data and one or more object layers respectively associated with one of the one or more object maps.

Abstract: The present disclosure provides a statistical, articulated 3D human shape modeling pipeline within a fully trainable, modular, deep learning framework. In particular, aspects of the present disclosure are directed to a machine-learned 3D human shape model with at least facial and body shape components that are jointly trained end-to-end on a set of training data. Joint training of the model components (e.g., including both facial, hands, and rest of body components) enables improved consistency of synthesis between the generated face and body shapes.

Abstract: Polymerizable compositions comprising a radically polymerizable resin can be polymerized in the absence of a peroxide initiator and other undesirable components. The polymerizable compositions and methods employ a manganese- or iron-containing salt or organic complex and a 1,3-dioxo compound with one or more other components. The polymerizable compositions have better storage stability and reduced gel time-drift.

Abstract: The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Abstract: The present disclosure provides systems and methods that perform face reconstruction based on an image of a face. In particular, one example system of the present disclosure combines a machine-learned image recognition model with a face modeler that uses a morphable model of a human's facial appearance. The image recognition model can be a deep learning model that generates an embedding in response to receipt of an image (e.g., an uncontrolled image of a face). The example system can further include a small, lightweight, translation model structurally positioned between the image recognition model and the face modeler. The translation model can be a machine-learned model that is trained to receive the embedding generated by the image recognition model and, in response, output a plurality of facial modeling parameter values usable by the face modeler to generate a model of the face.

Abstract: Disclosed herein are corrosion prevention devices comprising a sacrificial anode and a mass sensor. Also disclosed herein are corrosion prevention devices comprising a controller in communication with the mass sensor and sacrificial anode. The controller can be configured to receive mass data to detect when the mass of the sacrificial anode has fallen below a predetermined threshold. Upon determining that the mass has fallen below the predetermined threshold, the controller can designate that the sacrificial anode is depleted. In response, the controller can output instructions for performing one or more corrective actions to protect the desired structure from corrosion.