Abstract: Systems, methods, and computer-readable media for generating 3D models are disclosed. A method includes accessing an image depicting a dental arch of a user. The method further includes identifying, from the image, a set of features of the dental arch. The method further includes generating, using a convolutional neural network, a first voxel grid based on the set of features identified from the image, wherein a shape of the first voxel grid is generated based on a camera projection matrix accounting for a depth of the dental arch depicted in the image. The method further includes generating a 3D model including a 3D surface of the dental arch of the user based on a voxel grid from combining at least a portion of the first voxel grid and a portion of a second voxel grid.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A system includes one or more hardware processors and memory storing instructions that, when executed by the one or more hardware processors, causes the system to access image data depicting an object including generating the image data via a camera of a mobile device of the user where the object is a portion of the user, identify a set of features, assign labels to regions of the image data based on the set of features including providing the set of features identified from each respective region of the regions as input into a model and where the model outputs a label for the respective region and where the labels comprise one or more semantic labels or classifications that correspond with the set of features, and generate a three-dimensional (3D) model of the object based on the labels assigned to the regions of the image data.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.

Abstract: A 3D measurement system to generate and cause display of a 3D measurement interface to present values depicting dimensions of one or more objects depicted in a presentation of a 3D model at a client device. According to certain embodiments, the system is configured to perform operations that include: accessing a data stream at a client device, the data stream comprising depth data; generating a 3D model based on at least the depth data; causing display of a presentation of the 3D model at the client device; receiving an input that selects a dimension of the 3D model; and causing display of a value based on the dimension in response to the input that selects the dimension.

Abstract: A 3D scanning toolkit to perform operations that include: accessing a first data stream at a client device, wherein the first data stream comprises at least image data; applying a bit mask to the first data stream, the bit mask identifying a portion of the image data; accessing a second data stream at the client device, the second data stream comprising depth data associated with the portion of the image data; generating a point cloud based on the depth data, the point cloud comprising a set of data points that define surface features of an object depicted in the first data stream; and causing display of a visualization of the point cloud upon a presentation of the first data stream at the client device.