A method and an apparatus for effect processing, and a storage medium are provided. The method includes: in response to an image setting operation, acquiring multiple first images, the multiple images including at least two content reference images and a posture reference image, and the posture reference image including multiple first objects; and in response to an effect triggering operation, generating an effect image according to the content reference images and the posture reference image, wherein the effect image includes a multiple effect objects, at least a portion of an object content in the multiple effect objects is associated with at least a portion of an image content in the content reference images, and posture information of each of the multiple effect objects is associated with posture information of one of the multiple first objects.

The present disclosure provides an image processing method and a related device. The method includes: displaying a background image in a first area of a first interface; in response to an import operation for a first image, displaying the first image in the background image; in response to a first matting operation, performing first matting processing on the first image to obtain a first matted image; in response to a first stylizing operation, performing first stylizing processing on the first matted image to obtain a first stylized image; and/or in response to a second stylizing processing operation, performing second stylizing processing on the at least part of the background image to obtain a second stylized image; and displaying the first stylized image or the first matted image in the first area, and displaying the background image or the second stylized image in the first area.

The subject technology receives image data including a representation of a physical item. The subject technology analyzes the image data to determine an object corresponding to the physical item. The subject technology identifies a set of colors corresponding to a set of regions of the determined object. The subject technology analyzes second image data to detect a second object corresponding to a representation of a particular body part of a user. The subject technology generates augmented reality content based at least in part on the identified set of colors and the detected second object. The subject technology causes display, at a client device, the augmented reality content applied to the detected second object.

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.

An image processing apparatus includes a processor, in which an evaluation value in accordance with morphological characteristics of a tissue image is estimated using a machine learning model, the machine learning model is trained using a plurality of tissue image sets each including a plurality of training tissue images and provided with a relative rank based on the morphological characteristics of the training tissue image, the training is training in which the machine learning model is caused to estimate the evaluation value in accordance with the morphological characteristics of the training tissue image and the estimated evaluation value is made to conform to the relative rank, and the processor estimates the evaluation value of an acquired evaluation target using a trained machine learning model that has undergone the training.

A display control device includes a display control section that is configured to: perform first display in cases in which a display position of a following mark corresponding to a lead vehicle detected by a lead vehicle detection section for detecting lead vehicles is within a set display region set in advance in a display area of a display device by displaying the following mark at the display position; and perform second display to indicate that the lead vehicle is being detected in cases in which the display position falls outside the set display region.

A coordination system includes a fixed color setter, a recommended color extractor, and an output unit. The fixed color setter sets a fixed color of a fixed element to a selected one of candidates for the fixed color. The recommended color extractor extracts a recommended color of a selected element from candidates for a selected color of the selected element based on the fixed color of the fixed element and compatibility data. The output unit outputs the recommended color. The compatibility data includes combinations of each of the candidates for the fixed color and each of the candidates for the selected color, and compatibility values respectively associated with the combinations.

Techniques for fluorescence imaging are provided. A tissue region comprising a target fluorophore is illuminated with an excitation light in a wavelength range of 380-490 nm. First image data of the tissue is captured at an image sensor, wherein the first image comprises an autofluorescence contribution from the tissue and a fluorescence emission contribution from the target fluorophore, wherein the first image data comprises red channel data and green channel data. A corrected fluorescence image is generated, based on the first image data, wherein generating the fluorescence image comprises subtracting a second component based on one of the green channel data or the red channel data from a first component based on the other of the green channel data or the red channel data.

Methods, systems, and apparatus for brain tractography by shading fiber bundles. In one aspect, a method includes forwarding patient brain data for presentation to a user; receiving, from the user, a selection of a brain parcel in response to presentation of the patient brain data; forwarding, for display to the user, tract health data comprising i) tract data for tracts connected to the brain parcel and ii) at least one metric for the tracts, the metric reflecting the health of the tracts; and taking an action in response to forwarding the tract health data.

The present disclosure provides a panoramic image generation method and apparatus, an electronic device, and a storage medium. A panoramic image generation method includes: generating a first panoramic image with a first resolution based on image description text; and redrawing and zooming in the first panoramic image, and adding an image detail into the first panoramic image, to obtain a second panoramic image with a second resolution. The first resolution is smaller than the second resolution.