Neural Network to Write Picture-Based Poems

Microsoft had created XiaoIce chatbot that is the neural network poet
13 August 2018   360

Microsoft has trained XiaoIce's artificial intelligence system to read the image and generate Chinese poems describing what is depicted on it. This is reported by The Next Web.

The system consists of two neural networks. One of them recognizes the details in the picture and selects keywords, and then generates a poem. The second part evaluates the total. The algorithm received a set of instructions from the researchers and worked until the best result was achieved. If it did not suit the researchers, they changed the instruction set and restarted the system.

For example, for such an image, the algorithm generates a poem:

Example Image for XiaoIce
Example Image for XiaoIce

Wings hold rocks and water lightly

in the loneliness

Stroll the empty

The land becomes soft

Xiaolce's Poem

According to scientists, modern Chinese poetry requires great imagination and creative use of language, which is a difficult task even for a person.

To determine the quality of the program, the researchers conducted experiments, where they offered people to choose between the poems of the Microsoft bot and other algorithms. In the overwhelming majority of participants chose the first option.

AI to be Used to Create 3D Motion Sculptures

The system developed by the MIT and Berkeley scientists is called MoSculp and is based on artificial inteligence
21 September 2018   119

MoSculp, the joint work of MIT scientists and the University of California at Berkeley, is built on the basis of a neural network. The development analyzes the video recording of a moving person and generates what the creators called "interactive visualization of form and time." According to the lead specialist of the project Xiuming Zhang, software will be useful for athletes for detailed analysis of movements.

At the first stage, the system scans the video frame-by-frame and determines the position of key points of the object's body, such as elbows, knees, ankles. For this, scientists decided to resort to the OpenPose library, developed by the Carnegie Mellon University. Based on the received data, the neural network compiles a 3D model of the person in each frame, and calculates the trajectory of the motion, obtaining a "motion sculpture".

At this stage, the image, according to the developers, suffers from a lack of textures and details, so the application integrates the "sculpture" in the original video. To avoid overlapping, MoSculp calculates a depth map for the original object and the 3D model.

MoSculp 3D Model
MoSculp 3D Model

The operator can adjust the image during the processing, select the "sculpture" material, color, lighting, and also what parts of the body will be tracked. The system is able to print the result using a 3D printer.

The team of researchers announced plans to further develop the MoSculp technology. Developers want to achieve from the processing system more than one object on the video, which is currently impossible. The creators of the technology believe that the program will be used to study group dynamics, social disorders and interpersonal interactions.

The principle of creating a 3D model based on human movements has been used before. For example, in August 2018, scientists at the same University of California at Berkeley demonstrated an algorithm that transfers the movements of one person to another.