Abstract: Provided is a wearable display device. The wearable display device includes a display panel, comprising a display region and a peripheral region surrounding the display region; a plurality of light-emitting elements, configured to emit light to be irradiated to eyes of a user; a lens assembly, disposed on a light-exiting side of the display panel, the lens assembly comprising a lens mount and a lens within the lens mount, a light transmittance of the lens mount being greater than a threshold; and a plurality of photoelectric sensor assemblies in the peripheral region.

Abstract: An image acquisition method applied to a first electronic device, and the first electronic device includes N first cameras, N being an integer greater than or equal to 3. The image acquisition method includes: firstly, receiving, by the first electronic device, first position information from a second electronic device, the first position information being position information of eyes of a viewer of the second electronic device; then, selecting, by the first electronic device, K first cameras from the N first cameras based on the first position information, K being an integer greater than or equal to 2 and less than N; then, acquiring, by the first electronic device, images by using the K first cameras.

Abstract: A localization system may include an image input that receives images from a video source and an audio input that receives, from the video source, audio synchronized with the images. The localization system may also include an audio feature disentanglement network that correlates distinct audio elements from the audio input with corresponding visual features from the image input. Additionally, the localization system may include a geometry-based feature aggregation module that estimates a geometric transformation between two or more images from the video source and aggregates the visual features. Various other devices, systems, and methods are also disclosed.

Abstract: An audio-visual scene synthesis system may include a visual neural network, a cross-model bridge, and an audio neural network. Parameters of the audio neural network may be generated by the cross-model bridge based on analysis of a 3-dimensional visual environment modeled by the visual neural network. A coordinate transformation module may apply a transformation to an input camera direction to synthesize a new camera direction. The audio neural network may utilize the new camera direction and the parameters of the audio neural network to synthesize a multi-channel audio signal corresponding to the new camera direction. Various other devices, systems, and methods are also disclosed.