Abstract: A method includes illuminating a medium with optical illumination. The medium is optically curable to form a cured structure of a portion of the medium that is illuminated by a concentration of the optical illumination. The optical illumination is incident on the medium along an optical axis. Illuminating includes forming illumination that is both axially and transversely structured to form a volumetric structure in the medium that is contoured relative to the optical axis.

Abstract: A reblastatin derivative and its use in nervous system diseases. By modifying the 18-position hydroxyl of reblastatin, the therapeutic activity of the nervous system can be improved. In addition, especially when it is replaced with a methyl group, the lipid solubility of the compound can be increased, so that the brain-passing efficiency is improved.

Abstract: A method for training an image processing model includes: acquiring a to-be-corrected eye image set matching a usage environment of the image processing model; performing style transfer on to-be-corrected eye images in the to-be-corrected eye image set through a style transfer network in the image processing model, to obtain a target eye image; acquiring a training sample matching the usage environment of the image processing model based on the to-be-corrected eye images and the target eye image, the training sample including object eye images matching different gaze positions; and training a correction network in the image processing model through the training sample matching the usage environment of the image processing model, to obtain a model update parameter matching the correction network, and generating a trained image processing model based on the model update parameter.

Abstract: An image noise reduction method including: obtaining a first image to be processed and a second image as a reference image; obtaining a block of the first image by dividing the first image; determining a motion intensity of the block based on the second image; obtaining filter coefficient description information matching the motion intensity based on: a first pixel difference of a first pixel point value of the first image and a second pixel point value of the second image, and a filter coefficient; obtaining a target pixel difference between a third pixel point value of the block and a fourth pixel point value of the second image; determining a target filter coefficient corresponding to the target pixel difference based on the filter coefficient description information; and determining a target noise reduction image of the first image based on the target filter coefficient.

Abstract: A video frame processing method, performed by a computer device, includes: receiving video frames carrying noise, wherein the video frames include an object; extracting poses of a part of the object; determining deflection degree values of the part based on the poses; generating a control signal based on the deflection degree values; obtaining updated deflection values based on backlash filtering of the control signal; and performing image processing on the video frames based on the updated deflection values.

Abstract: A laser patterning method may include fabricating one or more precursor sites on a sample, generating an illumination beam including one or more pulse bursts, each pulse burst including two or more laser pulses, and scanning the illumination beam across the sample along a scan pattern including locations of the one or more precursor sites. At least one of intensities, temporal inter-pulse spacings, or spatial overlap between the two or more laser pulses in the illumination beam may be selected to selectively excite the one or more precursor sites to selectively modify the sample at the one or more precursor sites to form one or more patterned features, where a dimension of at least one feature in the one or more patterned features along at least one dimension is smaller than a size of the illumination beam on the sample.

Abstract: In the field of artificial intelligence technologies, a gaze correction method and apparatus for a face image, a device, a computer-readable storage medium, and a computer program product are provided. The method includes: acquiring an eye image from a face image; determining an eye movement flow field based on the eye image and a target gaze direction, the target gaze direction being a gaze direction to which an eye gaze in the eye image is to be corrected; adjusting a pixel position in the eye image based on the eye movement flow field, to obtain a corrected eye image; and generating a face image with a corrected gaze based on the corrected eye image.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product. The image gaze correction method includes: acquiring a to-be-corrected eye image from a to-be-corrected image, generating, based on the to-be-corrected eye image, an eye motion flow field and an eye contour mask, the eye motion flow field being used for adjusting a pixel position in the to-be-corrected eye image, and the eye contour mask being used for indicating a probability that the pixel position in the to-be-corrected eye image belongs to an eye region, performing, based on the eye motion flow field and the eye contour mask, gaze correction processing on the to-be-corrected eye image to obtain a corrected eye image, and generating a gaze corrected image based on the corrected eye image.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product related to the field of artificial intelligence technologies are provided. The image gaze correction method includes: acquiring an eye image from an image; performing feature extraction processing on the eye image to obtain feature information of the eye image; performing, based on the feature information and a target gaze direction, gaze correction processing on the eye image to obtain an initially corrected eye image and an eye contour mask; performing, by using the eye contour mask, adjustment processing on the initially corrected eye image to obtain a corrected eye image; and generating a gaze corrected image based on the corrected eye image.

Abstract: A plurality of groups of portrait components and a region in which the plurality of groups of portrait components are located are recognized from a first image, each group of portrait components corresponding to one human body, and a target region that includes a human face is determined in the region in which the plurality of groups of portrait components are located, to blur regions other than the target region in the first target image. A target group of portrait components including the human face is recognized from the first image, so that the target region in which the target group of portrait components is located is determined as a foreground region, and limbs of other people without a human face are determined as a background region. The disclosed system and method improve the accuracy of recognizing a foreground person and reducing incorrect detection in portrait recognition.

Abstract: An image acquisition method includes importing a three-dimensional model of an object into a three-dimensional virtual photographing scene having a virtual world coordinate system, determining model position information and model attitude information of the three-dimensional model in the virtual world coordinate system, determining, according to a layout pattern of a plurality of virtual cameras in the three-dimensional virtual photographing scene, camera position information and camera attitude information of each of the plurality of virtual cameras in the virtual world coordinate system, and acquiring, for each of the plurality of virtual cameras, an image of the object from a viewing angle of the virtual camera according to the model position information, the model attitude information, the camera position information, and the camera attitude information.

Abstract: A video frame processing method, performed by a computer device, includes: receiving video frames carrying noise, wherein the video frames include an object; extracting poses of a part of the object; determining deflection degree values of the part based on the poses; generating a control signal based on the deflection degree values; obtaining updated deflection values based on backlash filtering of the control signal; and performing image processing on the video frames based on the updated deflection values.

Abstract: An image noise reduction method including: obtaining a first image to be processed and a second image as a reference image; obtaining a block of the first image by dividing the first image; determining a motion intensity of the block based on the second image; obtaining filter coefficient description information matching the motion intensity based on: a first pixel difference of a first pixel point value of the first image and a second pixel point value of the second image, and a filter coefficient; obtaining a target pixel difference between a third pixel point value of the block and a fourth pixel point value of the second image; determining a target filter coefficient corresponding to the target pixel difference based on the filter coefficient description information; and determining a target noise reduction image of the first image based on the target filter coefficient.

Abstract: A laser patterning method may include fabricating one or more precursor sites on a sample, generating an illumination beam including one or more pulse bursts, each pulse burst including two or more laser pulses, and scanning the illumination beam across the sample along a scan pattern including locations of the one or more precursor sites. At least one of intensities, temporal inter-pulse spacings, or spatial overlap between the two or more laser pulses in the illumination beam may be selected to selectively excite the one or more precursor sites to selectively modify the sample at the one or more precursor sites to form one or more patterned features, where a dimension of at least one feature in the one or more patterned features along at least one dimension is smaller than a size of the illumination beam on the sample.

Abstract: A method for training an image processing model includes: acquiring a to-be-corrected eye image set matching a usage environment of the image processing model; performing style transfer on to-be-corrected eye images in the to-be-corrected eye image set through a style transfer network in the image processing model, to obtain a target eye image; acquiring a training sample matching the usage environment of the image processing model based on the to-be-corrected eye images and the target eye image, the training sample including object eye images matching different gaze positions; and training a correction network in the image processing model through the training sample matching the usage environment of the image processing model, to obtain a model update parameter matching the correction network, and generating a trained image processing model based on the model update parameter.

Abstract: In the field of artificial intelligence technologies, a gaze correction method and apparatus for a face image, a device, a computer-readable storage medium, and a computer program product are provided. The method includes: acquiring an eye image from a face image; determining an eye movement flow field based on the eye image and a target gaze direction, the target gaze direction being a gaze direction to which an eye gaze in the eye image is to be corrected; adjusting a pixel position in the eye image based on the eye movement flow field, to obtain a corrected eye image; and generating a face image with a corrected gaze based on the corrected eye image.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product. The image gaze correction method includes: acquiring a to-be-corrected eye image from a to-be-corrected image, generating, based on the to-be-corrected eye image, an eye motion flow field and an eye contour mask, the eye motion flow field being used for adjusting a pixel position in the to-be-corrected eye image, and the eye contour mask being used for indicating a probability that the pixel position in the to-be-corrected eye image belongs to an eye region, performing, based on the eye motion flow field and the eye contour mask, gaze correction processing on the to-be-corrected eye image to obtain a corrected eye image, and generating a gaze corrected image based on the corrected eye image.

Abstract: An image gaze correction method, apparatus, electronic device, computer-readable storage medium, and computer program product related to the field of artificial intelligence technologies are provided. The image gaze correction method includes: acquiring an eye image from an image; performing feature extraction processing on the eye image to obtain feature information of the eye image; performing, based on the feature information and a target gaze direction, gaze correction processing on the eye image to obtain an initially corrected eye image and an eye contour mask; performing, by using the eye contour mask, adjustment processing on the initially corrected eye image to obtain a corrected eye image; and generating a gaze corrected image based on the corrected eye image.

Abstract: An apparatus for laser processing of very wide non-woven fabric materials at high speeds. This invention enables a laser beam to sever, perforate and pattern a large piece of fabric materials planarly disposed at regular or irregular spatial intervals over the entire width while the fabric passes from one roller to another roller at high speeds by precisely managing focus and intensity of the beam at the focal point on the web. A control system managing the laser processing system enables rapid reconfiguration of perforation patterns. The fabric can be woven or nonwoven, homogeneous or nonhomogeneous material with uniform or nonuniform thickness. An optical sensor is provided to sense the laser processing as it is performed and provide feedback to a system controller to optimize laser processing performance in real time.

Abstract: The present invention relates to the preparation of the compound immunopotentiator and the application thereof in a foot-and-mouth disease vaccine of pigs. According to the present invention, the foot-and-mouth disease vaccine of pigs is taken as a research subject, and on this basis, several immunopotentiators having obvious immunopotentiating effects are selected for the compound immunopotentiator, and an antigen/vaccine is mixed with the immunopotentiator to prepare a vaccine-immunized pig. An animal experiment result shows that the present invention has obvious immunopotentiating effects. After immunizing the vaccine containing the compound immunopotentiator, a window period for antibody production can be significantly shortened to 7 days; a LPB-ELISA antibody titer is significantly improved, and an antibody pass rate is significantly increased; an immune protection period is also significantly extended, at least up to 7 months.