Abstract: An embodiment includes generating, by recognizing a first facial feature in a first two-dimensional image in a set of two-dimensional images, a first segmentation mask, the first segmentation mask identifying a changeable portion and a non-changeable portion of the first two-dimensional image, the non-changeable portion comprising the first facial feature. An embodiment includes adjusting, using an image modification model, from a first numerical representation of the first two-dimensional image, the first segmentation mask, a positive prompt, and a negative prompt, the first two-dimensional image, the adjusting resulting in a second two-dimensional image, the second two-dimensional image replacing the first two-dimensional image in the set of two-dimensional images. An embodiment includes generating, using a three-dimensional modelling model, from the set of two-dimensional images comprising the second two-dimensional image, a three-dimensional model corresponding to the set of two-dimensional images.

Abstract: A vehicle, system and method of detecting an object. The system includes an image network, a radar network and a head. The image network receives image data and proposes a boundary box from the image data and an object proposal. The radar network receives radar data and the boundary box and generates a fused set of data including the radar data and the image data. The head determines a parameter of the object from the object proposal and the fused set of data.

Abstract: A vehicle, system and method of detecting an object. The system includes an image network, a radar network and a head. The image network receives image data and proposes a boundary box from the image data and an object proposal. The radar network receives radar data and the boundary box and generates a fused set of data including the radar data and the image data. The head determines a parameter of the object from the object proposal and the fused set of data.