Abstract: A method for training a real-time, direct clothing modeling for animating an avatar for a subject is provided. The method includes collecting multiple images of a subject, forming a three-dimensional clothing mesh and a three-dimensional body mesh based on the images of the subject, and aligning the three-dimensional clothing mesh to the three-dimensional body mesh to form a skin-clothing boundary and a garment texture. The method also includes determining a loss factor based on a predicted cloth position and garment texture and an interpolated position and garment texture from the images of the subject, and updating a three-dimensional model including the three-dimensional clothing mesh and the three-dimensional body mesh according to the loss factor. A system and a non-transitory, computer-readable medium storing instructions to cause the system to execute the above method are also provided.

Abstract: A method for structured text detection includes: receiving, by a convolutional neural network, a to-be-detected image and at least one character region template, the to-be-detected image includes structured text, the at least one character region template includes locations of N first character regions with N being an integer equal to or greater than 1, and the location of each first character region is obtained based on locations of second character regions corresponding to the each first character region in M sample images that are of the same type as the to-be-detected image, where M is an integer equal to or greater than 1; and obtaining, by the convolutional neural network, an actual location of the structured text in the to-be-detected image according to the at least one character region template. A system for structured detection and a non-transitory computer-readable medium are also provided.

Abstract: A method for structured text detection includes: receiving, by a convolutional neural network, a to-be-detected image and at least one character region template, the to-be-detected image includes structured text, the at least one character region template includes locations of N first character regions with N being an integer equal to or greater than 1, and the location of each first character region is obtained based on locations of second character regions corresponding to the each first character region in M sample images that are of the same type as the to-be-detected image, where M is an integer equal to or greater than 1; and obtaining, by the convolutional neural network, an actual location of the structured text in the to-be-detected image according to the at least one character region template. A system for structured detection and a non-transitory computer-readable medium are also provided.