Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure include an image processing apparatus configured to efficiently perform texture synthesis (e.g., increase the size of, or extend, texture in an input image while preserving a natural appearance of the synthesized texture pattern in the modified output image). In some aspects, the image processing apparatus implements an attention mechanism with a multi-stage attention model where different stages (e.g., different transformer blocks) progressively refine image feature patch mapping at different scales, while utilizing repetitive patterns in texture images to enable network generalization. One or more embodiments of the disclosure include skip connections and convolutional layers (e.g., between transformer block stages) that combine high-frequency and low-frequency features from different transformer stages and unify attention to micro-structures, meso-structures and macro-structures.

Abstract: It is proposed a computer-implemented method for designing a three-dimensional modeled object, wherein the method comprises the steps of: user-interacting with a screen; defining a stroke corresponding to the user-interacting; discretizing the stroke into a set of points; projecting the set of points onto at least one support in a three-dimensional scene; constructing the three-dimensional modeled object from the projected set of points and the said at least one support.

Abstract: It is proposed a computer-implemented method for designing a three-dimensional modeled object, wherein the method comprises the steps of: user-interacting with a screen; defining a stroke corresponding to the user-interacting; discretizing the stroke into a set of points; projecting the set of points onto at least one support in a three-dimensional scene; constructing the three-dimensional modeled object from the projected set of points and the said at least one support.