The present disclosure provide an image processing method and apparatus, a device, and a medium. An embodiment of the method includes: obtaining an original image comprising a target object; determining, based on the original image, position information of a plurality of key points corresponding to the target object; obtaining a deformation coefficient that is set for the key points; and generating, based at least on the position information of the key points and the deformation coefficient, a target image corresponding to the original image according to a preset style, wherein the target image comprises a deformed object generated by performing stylization deformation on the target object.

Described herein are systems, methods, and computer-readable medium for detecting a perfusion abnormality of a subject. In one embodiment, a method includes the following: obtaining, by dynamic radiography, imaging data for a dynamic series of a plurality of x-ray images that include areas of a subject corresponding to pulmonary vasculature; identifying, based on the imaging data, a dynamic signal corresponding to changing blood volume during the cardiac cycle of the subject; decomposing the dynamic signal into periodic components in frequency space; identifying, from the periodic components in frequency space, signals oscillating at the heart rate of the subject; generating, based on the identified signals oscillating at the heart rate of the subject, a perfusion map representation corresponding to pulmonary tissue perfusion in the subject; and detecting, based at least in part on the generated perfusion map representation, a perfusion abnormality of the subject.

The present disclosure provides an apparatus and method of guided neural network model for image processing. An apparatus may comprise a guidance map generator, a synthesis network and an accelerator. The guidance map generator may receive a first image as a content image and a second image as a style image, and generate a first plurality of guidance maps and a second plurality of guidance maps, respectively from the first image and the second image. The synthesis network may synthesize the first plurality of guidance maps and the second plurality of guidance maps to determine guidance information. The accelerator may generate an output image by applying the style of the second image to the first image based on the guidance information.

A method, system and printing device for rendering digital color changing inks, can involve configuring a digital ink to appear as one color on a digital screen at one angle and as a different color at a different angle, and rendering the digital ink in a digital document. In an embodiment, a black geometric shape can be created, which can turn off RGB pixels. Single-color lines can be then added to the black geometric shape. The geometric shape can be viewed at different angles to determine one or more working patches. One or more working patches can be then added to the digital document. New Digital color changing inks can be created by taking advantage of the RGB output verses angle curves. The digital inks can appear as one color on a digital screen at one angle and as a different color at a different angle.

An information processing apparatus includes an input unit configured to accept an operation by a user and a processing unit configured to process text in response to the operation. In response to the operation, the apparatus transition to an edit state for editing text or a non-edit state. When an editing operation is performed on text that is a target of application of a texture, the apparatus causes a color of the text to change from a first color to a second color. While the state of the text is the edit state, the apparatus does not apply the texture to the text, and after the state of the text becomes the non-edit state, the apparatus applies the texture to the text.

The present disclosure relates to a computer-implemented method and system for improvements to emotional and behavioral interfaces. In an example, a first group of color-coded regions is displayed representing emotions and behaviors for data collected from one or more participants using an input method. Correspondences are determined within the first group of color-coded regions. Individuals ones of the first group of color-coded regions are provided with a first portion of pixels in a first color associated with a value in the date based in part on the correspondences. A second portion of pixels is provided with a second color associated with a neutral indication. Changes to the data over discrete or random intervals of time are determined as modifying the correspondences. A dynamical change is applied to the first portion of pixels and the second portion of pixels to update the display of the first group of color-coded regions.

A system and a method for split-rendering for persons with color weakness are proposed. The split-rendering method may include, by a service server, in response to a login of a user device, loading a color weakness profile corresponding to a user of the logging-in user device. The method may also include, by the service server, in response to the user being color-weak in accordance with the loaded color weakness profile, selecting one of a plurality of split-rendering servers. The method may further include, by the service server, transmitting a video content along with the color weakness profile to the selected split-rendering server, and by the service server, transmitting access information about the selected split-rendering server to the user device.

An image generation model obtains a text prompt, a first attribute token, and a second attribute token. A first set of layers of the image generation model and a first set of time-steps are identified for the first attribute token and a second set of layers of the image generation model and a second set of time-steps are identified for the second attribute token. A synthetic image is generated based on the text prompt, the first attribute token, and the second attribute token by providing the first attribute token to the first set layers of the image generation model during the first set of time-steps and providing the second attribute token to the second set of layers of the image generation model during the second set of time-steps.

A method for geometry buffer compression includes generating, based on geometry information of pixels in a frame, compressed geometry information for buffering in a geometry buffer (G-buffer). The compressed geometry information includes first texture component for first pixels and omits the first texture component for at least a second pixel. The second pixel has one or more neighboring pixels in the first pixels. Further, the method includes accessing the geometry buffer to obtain the compressed geometry information, and generating reconstructed geometry information of the pixels based on the compressed geometry information. The reconstructed geometry information includes the first texture component for the second pixel that is reconstructed based on the first texture component of the one or more neighboring pixels in the first pixels. Then, the method includes performing a rendering to generate an image according to the reconstructed geometry information of the pixels.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing a gamut polygon to generate a custom color palette. For example, the disclosed systems can generate, from an input color palette comprising a set of colors, a gamut polygon that encompasses the set of colors within a color space. Additionally, the disclosed systems can determine primary colors, secondary colors, and a neutral color utilizing the gamut polygon. Further, the disclosed systems can generate a color mixing string from the primary colors, the secondary colors, and the neutral color. The disclosed systems can also provide the color mixing string for display via a user interface of a client device.