Abstract: A carbon nanotube dispersion composition includes carbon nanotubes (A), a dispersant (B), and a solvent (C). A particle diameter D50 at a cumulative volume of 50% according to laser diffraction particle size distribution measurement is 0.3 to 7 ?m, and (1) and (2) below are satisfied. (1) The dispersant (B) is a polymer that has a weight average molecular weight of 5,000 or more and 360,000 or less and includes a carboxyl group-containing structural unit derived from at least one of (meth)acrylic acid and (meth)acrylate having a carboxyl group. (2) When the particle diameter D50 at a cumulative volume of 50% according to laser diffraction particle size distribution measurement of the carbon nanotube dispersion composition is X [?m], and a pH is Y, X and Y satisfy (Formula a) and (Formula b) below: Y ? - 0 . 1 ? 4 ? 9 ? X + 4 .545 ( Formula ? a ) Y ? - 0 . 1 ? 3 ? 4 ? X + 5 . 1 ? 4 ? 0 .

Abstract: A film deposition method includes forming a seed layer containing silicon atoms and nitrogen atoms on a metal film of a substrate by supplying a first silicon-containing gas and a first nitriding gas to the substrate in a state where the substrate is maintained at a first temperature; and forming a bulk layer containing silicon atoms and nitrogen atoms on the seed layer by supplying a second silicon-containing gas and a second nitriding gas to the substrate in a state where the substrate is maintained at a second temperature greater than the first temperature.

Abstract: A technique capable of adjusting an etching selectivity ratio of an oxide film to a nitride film is provided. A substrate processing method includes: (a) preparing a substrate having a first region where a nitride film is formed and a second region where an oxide film is formed; (b) exposing the substrate to a plasma generated from a first processing gas containing hydrogen gas and oxygen gas; (c) supplying a second processing gas containing a fluorine-containing gas and a basic gas to the substrate; (d) performing the (b) and the (c) in this order a first number of times; and (e) thermally treating the substrate after the (d).

Abstract: A technique capable of controlling the etching amount of a nitride film is provided. A substrate processing method includes: (a) preparing a substrate having a nitride film on a surface thereof; (b) exposing the substrate to a plasma generated from a first processing gas containing hydrogen gas and oxygen gas; (c) supplying a second processing gas containing a fluorine-containing gas and a basic gas to the substrate; (d) performing the (b) and the (c) in this order a first number of times; and (e) thermally treating the substrate after the (d).

Abstract: A carbon nanotube dispersion composition includes carbon nanotubes (A), a dispersant (B), and a solvent (C). A particle diameter D50 at a cumulative volume of 50% according to laser diffraction particle size distribution measurement is 0.3 to 7 ?m, and (1) and (2) below are satisfied. (1) The dispersant (B) is a polymer that has a weight average molecular weight of 5,000 or more and 360,000 or less and includes a carboxyl group-containing structural unit derived from at least one of (meth)acrylic acid and (meth)acrylate having a carboxyl group. (2) When the particle diameter D50 at a cumulative volume of 50% according to laser diffraction particle size distribution measurement of the carbon nanotube dispersion composition is X [?m], and a pH is Y, X and Y satisfy (Formula a) and (Formula b) below: Y ? - 0 . 1 ? 4 ? 9 ? X + 4 .545 ( Formula ? a ) Y ? - 0 . 1 ? 3 ? 4 ? X + 5 . 1 ? 4 ? 0 .

Abstract: A method, apparatus, non-transitory computer readable medium, and system for image generation include obtaining a sketch input and a value of a fidelity parameter indicating a level of adherence to the sketch input. The sketch input and the value of the fidelity parameter are encoded to obtain sketch guidance information. Then a synthesized image is generated based on the sketch guidance information. The synthesized image depicts an object from the sketch input based on the fidelity parameter.

Abstract: A film deposition method includes forming a seed layer containing silicon atoms and nitrogen atoms on a metal film of a substrate by supplying a first silicon-containing gas and a first nitriding gas to the substrate in a state where the substrate is maintained at a first temperature; and forming a bulk layer containing silicon atoms and nitrogen atoms on the seed layer by supplying a second silicon-containing gas and a second nitriding gas to the substrate in a state where the substrate is maintained at a second temperature greater than the first temperature.

Abstract: Embodiments of the present invention provide systems, methods, and non-transitory computer storage media for generating an ambient occlusion (AO) map for a 2D image that can be combined with the 2D image to adjust the contrast of the 2D image based on the geometric information in the 2D image. In embodiments, using a trained neural network, an AO map for a 2D image is automatically generated without any predefined 3D scene information. Optimizing the neural network to generate an estimated AO map for a 2D image requires training, testing, and validating the neural network using a synthetic dataset comprised of pairs of images and ground truth AO maps rendered from 3D scenes. By using an estimated AO map to adjust the contrast of a 2D image, the contrast of the image can be adjusted to make the image appear lifelike by modifying the shadows and shading in the image based on the ambient lighting present in the image.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for modifying voxel-based 3D representations using 3D digital brush tools and/or resolution filters. For example, the disclosed systems can utilize 3D digital brush tools (e.g., a digital blur brush tool, a digital smudge brush tool, and/or a digital melt brush tool) to identify and modify one or more voxels within a 3D representation using multiple buffers of visual properties. Additionally, the disclosed systems can modify one or more voxels within a 3D representation by rendering the one or more voxels at varying levels of detail using an octree (e.g., a mosaic filter tool). In particular, the disclosed systems can identify one or more voxels within an octree that are smaller than a target voxel size. Moreover, the disclosed systems can combine the identified one or more voxels within the octree to render the 3D representation at varying levels of detail.

Abstract: Avatar generation from an image is performed using semi-supervised machine learning. An image space model undergoes unsupervised training from images to generate latent image vectors responsive to image inputs. An avatar parameter space model undergoes unsupervised training from avatar parameter values for avatar parameters to generate latent avatar parameter vectors responsive to avatar parameter value inputs. A cross-modal mapping model undergoes supervised training on image-avatar parameter pair inputs corresponding to the latent image vectors and the latent avatar parameter vectors. The trained image space model generates a latent image vector from an image input. The trained cross-modal mapping model translates the latent image vector to a latent avatar parameter vector. The trained avatar parameter space model generates avatar parameter values from the latent avatar parameter vector. The latent avatar parameter vector can be used to render an avatar having features corresponding to the input image.

Abstract: Methods and systems are provided for a three-dimensional effect on the edge of a multi-page document (e.g., a book). In one embodiment, a first set of image slices associated with a left-eye image is printed on a first side of long pages of a multi-page document. The first set of image slices printed adjacent to edges of the long pages. A second set of image slices associated with a right-eye image is printed on a second side of the long pages of the multi-page document. The second set of image slices printed adjacent to the edges of the long pages. Thereafter, the multi-page document is created by interleaving the long pages with short pages to enable visibility of the first set of image slices and the second set of image slices printed adjacent to the edges of the long pages.

Abstract: Methods and systems are provided for a three-dimensional effect on the edge of a multi-page document (e.g., a book). In one embodiment, a first set of image slices associated with a left-eye image is printed on a first side of long pages of a multi-page document. The first set of image slices printed adjacent to edges of the long pages. A second set of image slices associated with a right-eye image is printed on a second side of the long pages of the multi-page document. The second set of image slices printed adjacent to the edges of the long pages. Thereafter, the multi-page document is created by interleaving the long pages with short pages to enable visibility of the first set of image slices and the second set of image slices printed adjacent to the edges of the long pages.

Abstract: A vectorized caricature avatar generator receives a user image from which face parameters are generated. Segments of the user image including certain facial features (e.g., hair, facial hair, eyeglasses) are also identified. Segment parameter values are also determined, the segment parameter values being those parameter values from a set of caricature avatars that correspond to the segments of the user image. The face parameter values and the segment parameter values are used to generate a caricature avatar of the user in the user image.

Abstract: Embodiments of the present invention provide systems, methods, and non-transitory computer storage media for generating an ambient occlusion (AO) map for a 2D image that can be combined with the 2D image to adjust the contrast of the 2D image based on the geometric information in the 2D image. In embodiments, using a trained neural network, an AO map for a 2D image is automatically generated without any predefined 3D scene information. Optimizing the neural network to generate an estimated AO map for a 2D image requires training, testing, and validating the neural network using a synthetic dataset comprised of pairs of images and ground truth AO maps rendered from 3D scenes. By using an estimated AO map to adjust the contrast of a 2D image, the contrast of the image can be adjusted to make the image appear lifelike by modifying the shadows and shading in the image based on the ambient lighting present in the image.

Abstract: Embodiments of the present invention provide systems, methods, and non-transitory computer storage media for generating an ambient occlusion (AO) map for a 2D image that can be combined with the 2D image to adjust the contrast of the 2D image based on the geometric information in the 2D image. In embodiments, using a trained neural network, an AO map for a 2D image is automatically generated without any predefined 3D scene information. Optimizing the neural network to generate an estimated AO map for a 2D image requires training, testing, and validating the neural network using a synthetic dataset comprised of pairs of images and ground truth AO maps rendered from 3D scenes. By using an estimated AO map to adjust the contrast of a 2D image, the contrast of the image can be adjusted to make the image appear lifelike by modifying the shadows and shading in the image based on the ambient lighting present in the image.

Abstract: A vectorized caricature avatar generator receives a user image from which face parameters are generated. Segments of the user image including certain facial features (e.g., hair, facial hair, eyeglasses) are also identified. Segment parameter values are also determined, the segment parameter values being those parameter values from a set of caricature avatars that correspond to the segments of the user image. The face parameter values and the segment parameter values are used to generate a caricature avatar of the user in the user image.

Abstract: A tip seal 1 for a scroll compressor capable of reducing a frictional force between scroll members and the tip seal where the tip seal 1 has a spiral shape for sealing a compression chamber formed between a fixed scroll and a movable scroll in a scroll compressor provided with the fixed scroll. The movable scroll having a plurality of concave parts 4 being formed by partially notching a sliding surface 5 on the scroll members, the concave parts 4 being arranged on at least one of a spiral inner peripheral surface 1b or a spiral outer peripheral surface 1a. Each of the concave parts 4 being open to the inner peripheral surface 1b or the outer peripheral surface 1a.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for modifying voxel-based 3D representations using 3D digital brush tools and/or resolution filters. For example, the disclosed systems can utilize 3D digital brush tools (e.g., a digital blur brush tool, a digital smudge brush tool, and/or a digital melt brush tool) to identify and modify one or more voxels within a 3D representation using multiple buffers of visual properties. Additionally, the disclosed systems can modify one or more voxels within a 3D representation by rendering the one or more voxels at varying levels of detail using an octree (e.g., a mosaic filter tool). In particular, the disclosed systems can identify one or more voxels within an octree that are smaller than a target voxel size. Moreover, the disclosed systems can combine the identified one or more voxels within the octree to render the 3D representation at varying levels of detail.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for modifying voxel-based 3D representations using 3D digital brush tools and/or resolution filters. For example, the disclosed systems can utilize 3D digital brush tools (e.g., a digital blur brush tool, a digital smudge brush tool, and/or a digital melt brush tool) to identify and modify one or more voxels within a 3D representation using multiple buffers of visual properties. Additionally, the disclosed systems can modify one or more voxels within a 3D representation by rendering the one or more voxels at varying levels of detail using an octree (e.g., a mosaic filter tool). In particular, the disclosed systems can identify one or more voxels within an octree that are smaller than a target voxel size. Moreover, the disclosed systems can combine the identified one or more voxels within the octree to render the 3D representation at varying levels of detail.

Abstract: Embodiments of the present invention provide systems, methods, and non-transitory computer storage media for generating an ambient occlusion (AO) map for a 2D image that can be combined with the 2D image to adjust the contrast of the 2D image based on the geometric information in the 2D image. In embodiments, using a trained neural network, an AO map for a 2D image is automatically generated without any predefined 3D scene information. Optimizing the neural network to generate an estimated AO map for a 2D image requires training, testing, and validating the neural network using a synthetic dataset comprised of pairs of images and ground truth AO maps rendered from 3D scenes. By using an estimated AO map to adjust the contrast of a 2D image, the contrast of the image can be adjusted to make the image appear lifelike by modifying the shadows and shading in the image based on the ambient lighting present in the image.