VIDEO GENERATION USING FRAME-WISE TOKEN EMBEDDINGS

A new method helps create fake videos based on a description of a scene. It starts by taking an input prompt that explains what the video should show. Then, it creates special representations for each frame of the video based on that description. After that, a video generation model uses these representations to produce the final video. The result is a series of images that together form the complete video scene.

Personalized Branding with Prompt Adaptation in Large Language Models and Visual Language Models

A system helps users create personalized content by using a brand kit. When a user gives a natural language prompt, the system checks if they want to use a brand kit for their content. If the user doesn't have a brand kit, the system automatically creates one for them. It then uses this brand kit to customize the content generated by advanced models. The system also generates specific prompts to guide these models in producing the personalized content.

SCRIBBLE-TO-VECTOR IMAGE GENERATION

A new technology can turn simple sketches into detailed images. First, it takes a drawing of an object as input. Then, it analyzes the sketch to understand what it represents. After that, it creates a more polished image based on the sketch's guidance. The final result shows the object as intended in the original drawing.

STYLE-BASED IMAGE GENERATION

A method is designed to create images based on written descriptions and specific styles. It starts by taking a text prompt that describes what the image should show and a style input that indicates how the image should look. Next, it converts the text prompt into a format called a text embedding, which captures the content of the image. Then, it creates a style embedding from the style input to represent the desired look. Finally, the system generates a new image by combining these two embeddings in two steps, first focusing on the content and then on the style.

FLEXIBLE COMPUTER GAMING BASED ON MACHINE LEARNING

A new system changes how computer games work after they are released. It uses data from players and machine learning to adjust game settings for better performance. These changes can be customized for different groups of players based on their gameplay patterns. The system automatically identifies these groups by analyzing the data. Overall, the goal is to enhance the gaming experience for everyone involved.

AI TEXT FOR VIDEO STREAMS

A system allows users to input text prompts to create images using artificial intelligence. These images are then included in a video that is processed and encoded into a specific format. The text prompt is also embedded in the video data as additional information. This setup enables the generation of videos that visually represent the ideas or themes described in the text. Overall, it combines user creativity with advanced technology to produce unique video content.

MAP FEATURES DELIVERED VIA AUGMENTED REALITY (AR)

Augmented reality (AR) can be used to show different types of information on displays, like a car windshield. This information can come from things detected by the vehicle or from content created by users. It can also include data collected from many people to create a shared map. The AR graphics are designed to fit perfectly with what the user sees in real life. This way, digital information appears to blend seamlessly with the physical world around them.

CONTEXT BASED AUGMENTED REALITY COMMUNICATION

A system allows users to communicate using augmented reality by sharing virtual content in real-world settings. When one user selects a virtual item, this choice is sent to another user’s device. The system checks specific conditions to decide when to show the virtual item. If these conditions are met, the second user's device displays the virtual item over their view of the real world. This creates an interactive experience where users can see and engage with shared virtual content together.

LEATHER-LIKE MATERIAL FROM PLANT-BASED WASTES, PROCESS OF MANUFACTURING AND USE OF SAID LEATHER-LIKE MATERIAL

A new type of leather-like material can be made from plant-based waste. This process uses leftover parts of plants that contain natural substances like cellulose and starch. The resulting material can be printed and is suitable for making various items, such as clothing, shoes, bags, and even furniture covers. It offers an eco-friendly alternative to traditional leather. This innovation helps reduce waste while providing a versatile product for many uses.

SYSTEMS AND METHODS FOR GENERATING AUGMENTED AND VIRTUAL REALITY IMAGES

A ride system has a vehicle that carries passengers. Passengers wear special electronic goggles that have a camera and a screen. These goggles capture images of the real world around the passenger. A computer system then creates virtual images that are added on top of the real-world view. Finally, both the real and virtual images are shown on the goggles' display for the passenger to see.