Abstract: A computer-implemented method for image generation includes receiving conditioning data derived from imagery within input data frames. Auxiliary audio data derived from words or sounds vocalized by a subject within the input data frames is received. The audio data is included within audio content associated the input data frames. The conditioning data and the auxiliary audio data is provided to a composite artificial neural network where the composite artificial neural network is configured to perform a controlled diffusion process. The composite artificial neural network includes a neural network implementing a diffusion model in combination with a control neural network. The composite artificial neural network generates reconstructed versions of the input data frames based upon the conditioning data and the auxiliary audio data.

Abstract: A power bank and holographic projection accessory intended for use with a portable electronic device. The accessory includes a holographic projection unit and an external power bank case attachable to the holographic projection unit. The external power bank case is configured to provide power to the holographic projection unit and to provide a video signal generated by the portable electronic device to the holographic projection unit. The holographic projection unit generates volumetric projections based upon the video signal.

Abstract: A power bank and holographic projection accessory intended for use with a portable electronic device. The accessory includes a holographic projection unit and an external power bank case attachable to the holographic projection unit. The external power bank case is configured to provide power to the holographic projection unit and to provide a video signal generated by the portable electronic device to the holographic projection unit. The holographic projection unit generates volumetric projections based upon the video signal.

Abstract: A system has a server to train an artificial intelligence model on training data characterizing a good or service to form a trained model. A client device is associated with a user. The client device executes instructions on a processor to receive the trained model via a network connection to the server, collect user data and obtain a personalized digital image advertisement from the trained model and user data. The personalized digital image advertisement includes a synthetic digital image formed by a trained machine learning model. The personalized digital image advertisement is transformed with fine-grained image control modifications, quality assurance operations, and branding assurance operations to form a final personalized digital image advertisement. The final personalized digital image advertisement is presented on the client device.

Abstract: A computer-implemented method includes receiving training data with training images of a scene and associated camera extrinsics corresponding to three-dimensional (3D) camera locations and camera directions from which the training images are captured. Using the training data, a neural network is trained to represent a latent model of the scene in a latent space where the neural network is configured to synthesize scene images corresponding to novel views of the scene from queried 3D viewpoints and viewing angles. View spotlight information is received. The training of the neural network is prioritized based upon the view spotlight information.

Abstract: A micro-layered structure for use in an optical projection system is configured to reflect incident light as multiple closely aligned reflections. A first semi-reflective transparent layer of the structure has a first index of refraction, a first front surface and a first rear surface. A second semi-reflective transparent layer of the structure has a second index of refraction different from the first index of refraction, a second front surface and a second rear surface. The second front surface abuts the first rear surface of the first semi-reflective transparent layer. Portions of the incident light are respectively reflected by the first front surface, first rear surface, second front surface and second rear surface as first, second, third and fourth reflections which collectively form a projection of the image perceived by a user of the optical projection system.

Abstract: A holographic display system for a portable electronic device. The display system includes a case configured to receive the portable electronic device and a projector coupled to the case by a first hinge element. The projector includes a projector screen for generating images. A reflective element is coupled to the projector by a second hinge element. The reflective element is oriented to reflect light from the images in order to create holographic images perceptible to a user of the portable electronic device. The case may include a connector for receiving, from the portable electronic device, a video signal defining the images. The holographic display system may further include a substantially transparent touch screen attached to the first hinge element.

Abstract: A holographic display system for a portable electronic device. The display system includes a case configured to receive the portable electronic device and a projector coupled to the case by a first hinge element. The projector includes a projector screen for generating images. A reflective element is coupled to the projector by a second hinge element. The reflective element is oriented to reflect light from the images in order to create holographic images perceptible to a user of the portable electronic device. The case may include a connector for receiving, from the portable electronic device, a video signal defining the images. The holographic display system may further include a substantially transparent touch screen attached to the first hinge element.