Abstract: An image generation method and a computing device employing the method includes: acquiring a plurality of original images; and processing the plurality of original images to obtain a training data set. An anti-neural network model is trained according to the training data set. A candidate image is generated through the trained anti-neural network model. The candidate image is complemented through a detail completion network model to obtain a target image according to a comparison image. Thereby, a style of the generated image is the same as that of the comparison image. A more realistic image can be randomly generated saving the time and energy of artificially creating an image.

Abstract: Certain embodiments herein relate to an apparatus used for remote plasma processing. In various embodiments, the apparatus includes a reaction chamber that is conditioned by forming a low recombination material coating on interior chamber surfaces. The low recombination material helps minimize the degree of radical recombination that occurs when the reaction chamber is used to process substrates. During processing on substrates, the low recombination material may become covered by relatively higher recombination material (e.g., as a byproduct of the substrate processing), which results in a decrease in the amount of radicals available to process the substrate over time. The low recombination material coating may be reconditioned through exposure to an oxidizing plasma, which acts to reform the low recombination material coating. The reconditioning process may occur periodically as additional processing occurs on substrates.

Abstract: Disclosed are methods and systems for providing silicon carbide films. A layer of silicon carbide can be provided under process conditions that employ one or more silicon-containing precursors that have one or more silicon-hydrogen bonds and/or silicon-silicon bonds. The silicon-containing precursors may also have one or more silicon-oxygen bonds and/or silicon-carbon bonds. One or more radical species in a substantially low energy state can react with the silicon-containing precursors to form the silicon carbide film. The one or more radical species can be formed in a remote plasma source.

Abstract: In a crop identification method, multi-temporal sample remote sensing images labeled with first planting blocks of a specific crop are acquired. NDVI data of the sample remote sensing images are calculated. Noise of the NDVI data is reduced. A first multivariate Gaussian model is fitted based on de-noised NDVI data of the sample remote sensing image. Multi-temporal target remote sensing images are acquired. An NDVI time series of each pixel in the target remote sensing image is constructed. The NDVI time series is input to the first multivariate Gaussian model to obtain a likelihood value of each pixel displaying the specific crop in the remote sensing images. Second planting blocks of the specific crop in the target remote sensing images are determined accordingly. An accurate and robust identification result is thereby achieved.

Abstract: A method is described for training a model that refines estimated parameter values within core images is disclosed. The method includes receiving multiple training image pairs wherein each training image pair includes: (i) an unrefined core image of a rock sample to be used for estimating rock properties, and (ii) a refined core image of the same rock sample; generating a training dataset from the multiple training image pairs; receiving an initial core model; generating a conditioned core model by training, using the multiple training image pairs, the initial core model; and storing the conditioned core model in electronic storage. The conditioned core model may be applied to an initial target core image data set to generate a refined target sore image dataset. The method may be executed by a computer system.

Abstract: Disclosed are methods and systems for providing silicon carbide films. A layer of silicon carbide can be provided under process conditions that employ one or more silicon-containing precursors that have one or more silicon-hydrogen bonds and/or silicon-silicon bonds. The silicon-containing precursors may also have one or more silicon-oxygen bonds and/or silicon-carbon bonds. One or more radical species in a substantially low energy state can react with the silicon-containing precursors to form the silicon carbide film. The one or more radical species can be formed in a remote plasma source.

Abstract: A method and device for image generation and colorization are provided. The method includes: displaying a drawing board interface; obtaining semantic labels of an image to be generated based on user input on the drawing board interface, each semantic label indicating a content of a region in the image to be generated; obtaining a color feature of the image to be generated; and automatically generating the image using a generative adversarial network (GAN) model according to the semantic labels and the color feature. The color feature is a latent vector input to the GAN model.

Abstract: A method and device for image generation are provided. The method includes: obtaining a text describing a content of an image to be generated; extracting, using a text encoder, a text feature vector from the text; determining a semantic mask as spatial constraints of the image to be generated; and automatically generating the image using a generative adversarial network (GAN) model according to the semantic mask and the text feature vector.

Abstract: A doped or undoped silicon carbide (SiCxOyNz) film can be deposited in one or more features of a substrate for gapfill. After a first thickness of the doped or undoped silicon carbide film is deposited in the one or more features, the doped or undoped silicon carbide film is exposed to a remote hydrogen plasma under conditions that cause a size of an opening near a top surface of each of the one or more features to increase, where the conditions can be controlled by controlling treatment time, treatment frequency, treatment power, and/or remote plasma gas composition. Operations of depositing additional thicknesses of silicon carbide film and performing a remote hydrogen plasma treatment are repeated to at least substantially fill the one or more features. Various time intervals between deposition and plasma treatment may be added to modulate gapfill performance.

Abstract: A substrate processing system includes a first chamber including a substrate support. A showerhead is arranged above the first chamber and is configured to filter ions and deliver radicals from a plasma source to the first chamber. The showerhead includes a heat transfer fluid plenum, a secondary gas plenum including an inlet to receive secondary gas and a plurality of secondary gas injectors to inject the secondary gas into the first chamber, and a plurality of through holes passing through the showerhead. The through holes are not in fluid communication with the heat transfer fluid plenum or the secondary gas plenum.

Abstract: An environment monitoring method and an electronic device are provided, the method divides the satellite image into a plurality of first divided images with overlapping areas, a first multi-dimensional feature map is obtained by inputting the plurality of first divided images into an environment monitoring model, the environmental monitoring model fully combines the correlation between the environmental information of different dimensions, the environmental features of a plurality of different dimensions are correlated through an association network. By utilizing the environment monitoring method, a large area of the environment monitoring effectively is realized, and accuracy of environmental detection is improved.

Abstract: A cultivated land recognition method in a satellite image includes: segmenting a satellite image of the Earth into a plurality of standard images; and recognizing cultivated land area in each of the standard images using a cultivated land recognition model to obtain a plurality of first images. Edges of ground level entities in each of the standard images are detected using an edge detection model to obtain a plurality of second images. Each of the first images and a corresponding one of the second images is merged to obtain a plurality of third images; and cultivated land images is obtained by segmenting each of the third images using a watershed segmentation algorithm. Not only can a result of recognizing cultivated land in satellite images of the Earth be improved, but an efficiency of recognizing the cultivated land also be improved. A computing device employing the method is also disclosed.

Abstract: In a face swap method carried out by an electronic device, a first head image is segmented from a destination image. First facial landmarks and a first hair mask are obtained according to the first head image. A second head image is segmented from a source image. Second facial landmarks and a second hair mask are obtained according to the second head image. If at least one eye landmark in the second facial landmarks is covered by hair, the second head image and the second hair mask are processed and repaired so as to obtain a swapped-face image with eyes not covered by hair.

Abstract: A substrate processing system includes a first chamber including a substrate support. A showerhead is arranged above the first chamber and is configured to filter ions and deliver radicals from a plasma source to the first chamber. The showerhead includes a heat transfer fluid plenum, a secondary gas plenum including an inlet to receive secondary gas and a plurality of secondary gas injectors to inject the secondary gas into the first chamber, and a plurality of through holes passing through the showerhead. The through holes are not in fluid communication with the heat transfer fluid plenum or the secondary gas plenum.

Abstract: An image processing method and an electronic device are provided, the method extracts a first object mask of a texture image and a second object mask of a to-be-optimized image. An image recognition model is used to obtain a first content matrix, a first texture matrix, a second content matrix, a second texture matrix, a first mask matrix, and a second mask matrix. A total loss of the to-be-optimized image is determined, and the total loss is minimized by adjusting a value of each pixel of the to-be-optimized image, thereby an optimized image is obtained. By utilizing the image processing method, quality of final image is improved.

Abstract: Embodiments of categorizing fractures in a subsurface formation are provided herein. One embodiment comprises obtaining at least one borehole image for a plurality of fractures in a subsurface formation and at least one resistivity log for the plurality of fractures of the surface formation. The embodiment comprises determining first aperture data based on the at least one borehole image for the plurality of fractures and determining second aperture data based on the at the least one resistivity log for the plurality of fractures. The embodiment comprises comparing the first aperture data based on the at least one borehole image and the second aperture data based on at least one resistivity log to determine whether to categorize each fracture of the plurality of fractures as a naturally occurring fracture or a non-naturally occurring fracture. The embodiment comprises generating an output indicating the categorization of each fracture and displaying the output.

Abstract: A method for generating a model for facial sculpture based on a generative adversarial network (GAN) includes training a predetermined GAN based on a three dimensional (3D) face dataset of multiple 3D face images to obtain an initial sculpture generation model. A curvature conversion on each of the multiple 3D face images is performed to obtain a distribution map of curvature value and the distribution map of curvature value of each of the multiple 3D face images is added as attention information to the initial sculpture generation model, to train and generate a face sculpture generation model. A target 3D face data and predetermined face curvature parameters are received, and the target 3D face data and the predetermined face curvature parameters are inputted into the face sculpture generation model to generate a face sculpture model. A computing device using the method is also provided.

Abstract: A cultivated land recognition method in a satellite image includes: segmenting a satellite image of the Earth into a plurality of standard images; and recognizing cultivated land area in each of the standard images using a cultivated land recognition model to obtain a plurality of first images. Edges of ground level entities in each of the standard images are detected using an edge detection model to obtain a plurality of second images. Each of the first images and a corresponding one of the second images is merged to obtain a plurality of third images; and cultivated land images is obtained by segmenting each of the third images using a watershed segmentation algorithm. Not only can a result of recognizing cultivated land in satellite images of the Earth be improved, but an efficiency of recognizing the cultivated land also be improved. A computing device employing the method is also disclosed.

Abstract: An environment monitoring method and an electronic device are provided, the method divides the satellite image into a plurality of first divided images with overlapping areas, a first multi-dimensional feature map is obtained by inputting the plurality of first divided images into an environment monitoring model, the environmental monitoring model fully combines the correlation between the environmental information of different dimensions, the environmental features of a plurality of different dimensions are correlated through an association network. By utilizing the environment monitoring method, a large area of the environment monitoring effectively is realized, and accuracy of environmental detection is improved.

Abstract: An image processing method and an electronic device are provided, the method extracts a first object mask of a texture image and a second object mask of a to-be-optimized image. An image recognition model is used to obtain a first content matrix, a first texture matrix, a second content matrix, a second texture matrix, a first mask matrix, and a second mask matrix. A total loss of the to-be-optimized image is determined, and the total loss is minimized by adjusting a value of each pixel of the to-be-optimized image, thereby an optimized image is obtained. By utilizing the image processing method, quality of final image is improved.