ROBUST FACIAL ANIMATION FROM VIDEO AND AUDIO

A system can create animations for a 3D avatar using video and audio from a user's device. A camera records the user's face, while special models analyze the video to determine facial movements and head positions. At the same time, a microphone captures the user's voice, which is also analyzed for facial movements related to speech. To ensure smooth animations, the system checks for any gaps in the audio. Finally, it combines the video and audio data to produce realistic animations for the avatar or other animated characters.

GENERATING THREE-DIMENSIONAL LOOPING ANIMATIONS FROM STILL IMAGES

A system uses neural networks to create looping animations from still images. It starts by fitting a 3D model to the pose of a person in a digital picture. Then, it takes an animation sequence that shows movement from one pose to another. The system generates two transition sequences that connect the person's pose to the starting and ending poses. Finally, it combines these sequences with texture maps to produce a smooth, looping 3D animation.

AUGMENTED REALITY WITH MOTION SENSING

A device can capture images of the surroundings and show them to the user almost instantly. It uses motion sensing technology to enhance what the user sees. This device can work on its own or be attached to something like glasses or a headset. When worn, it displays additional information alongside the real-world view. This creates an experience where virtual information blends with the real environment.

ADAPTIVE MULTIMODAL FUSING FOR NON-PLAYER CHARACTER GENERATION AND CONFIGURATION

New systems and techniques help create and animate non-player characters (NPCs) in video games and virtual worlds. They take various types of input data, like voice or gestures, to understand how the NPC should look and move. This data is processed using advanced neural networks to create animations for the NPC's body and face. The system also uses a large-language model to generate speech for the NPC, making it more interactive. Finally, all this information is combined to produce a lifelike animated character that can fit into different virtual environments.

FUSED MULTIMODAL FRAMEWORK FOR NON-PLAYER CHARACTER GENERATION AND CONFIGURATION

A new system helps create and animate non-player characters (NPCs) in video games and virtual worlds. It takes different types of input data to understand how the NPC should look and move. Advanced neural networks process this data to create animations for the NPC's body and face. The system also uses a language model to generate speech for the NPC, making it more interactive. Finally, all this information is combined to produce a fully animated character that fits well into its virtual environment.

Generation of video stream having localized lip-syncing with personalized characteristics

A method has been created to improve video streams by making the characters' lip movements match the language being spoken. It detects the cultural background and accents of both the speakers and the audience. Based on this information, specific accent tags are chosen for the speakers. The spoken words are translated into a different language, and the accent tags are added to ensure they fit the new language. Finally, the video is adjusted so that it looks like the characters are speaking in the translated language with accurate lip movements.

MULTIMODAL CONTEXTUALIZER FOR NON-PLAYER CHARACTER GENERATION AND CONFIGURATION

A system has been created to help generate and animate non-player characters (NPCs) in video games or virtual worlds. It takes in different types of input, like voice or gestures, to understand how the NPC should look and move. Advanced neural networks process this input to create animations for the NPC's body and face. The system also uses a large-language model to give the NPC speech that matches its actions. Finally, all this information is combined to produce a lively animated character that fits well into its digital environment.

METHOD AND DEVICE FOR SYNTHESIZING TALKING HEAD VIDEO AND COMPUTER-READABLE STORAGE MEDIUM

A method has been developed to create videos of talking heads. It starts by collecting speech data and additional observation data that isn't related to speech. Next, the method extracts important features from both the speech and observation data. Then, it models these features over time to create simplified representations. Finally, it uses these representations to generate a video that matches the speech while also incorporating the relevant non-speech elements.

UNDIRECTED MUTATED MRNA VACCINE

A new type of mRNA vaccine is designed to protect against various diseases, including viruses like influenza and SARS CoV-2, as well as cancer and infections from bacteria and fungi. When the vaccine is injected, it delivers mRNA into the body, which then instructs cells to produce proteins that trigger an immune response. This vaccine contains a mix of regular and mutated mRNA, with some mutations being random and not specifically targeted. It aims to provide broader protection by preparing the immune system for multiple variants of a virus. Overall, this approach helps the body fight off different diseases more effectively.

Augmented Reality (or Mixed Reality) Eyewear with See-Through Optical Elements Having Individually-Adjustable Opacity/Reflectivity Levels

Augmented Reality eyewear uses special optical elements that can change how much light they let through. When set to one position, these elements allow light from the real world to pass through clearly. In another position, they block some light and reflect images from a virtual display directly to the wearer’s eyes. This means users can see a clear virtual object in front of them while still being aware of their surroundings. The technology allows for a more immersive experience without completely blocking out the real world.