Abstract: Methods, systems, and non-transitory computer readable media are disclosed for transferring modifications or deformations from a three-dimensional model of one type to a three-dimensional model of another type. In some embodiments, the disclosed systems receive an indication of a user interaction defining a modification to a three-dimensional model. In some cases, the disclosed systems modify an implicit function corresponding to the three-dimensional model in response to the user interaction. In certain embodiments, the disclosed systems generate a modified three-dimensional model by transferring the modification from the implicit function to the three-dimensional model. Further, in some embodiments, the disclosed systems provide the modified three-dimensional model for display on a client device.

Abstract: Techniques are disclosed for direct manipulation of implicitly defined digital three-dimensional (3D) shapes. In an example method, a computing device renders a 3D shape based on an implicit definition including one or more parameters. The computing device receives an indication of an input indicating a modification to the 3D shape at a point. The computing device determines an alternative representation of the point. The computing device determines a position of the point based on the alternative representation. The computing device determines a transformation that relates the position to the one or more parameters. The computing device determines a change in at least one parameter based on the transformation and the input. The computing device re-renders the 3D shape based on the implicit definition and the change in the at least one parameter. The re-rendered 3D shape includes the modification indicated by the input.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for transferring modifications or deformations from a three-dimensional model of one type to a three-dimensional model of another type. In some embodiments, the disclosed systems receive an indication of a user interaction defining a modification to a three-dimensional model. In some cases, the disclosed systems modify an implicit function corresponding to the three-dimensional model in response to the user interaction. In certain embodiments, the disclosed systems generate a modified three-dimensional model by transferring the modification from the implicit function to the three-dimensional model. Further, in some embodiments, the disclosed systems provide the modified three-dimensional model for display on a client device.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate digital materials from digital images using a diffusion neural network. For instance, in one or more embodiments, the disclosed systems receive a digital image portraying a scene to be replicated as a digital material. The disclosed systems also generate, using a conditioning neural network, a spatial condition from the digital image. Using a controlled diffusion neural network and based on the spatial condition, the disclosed systems generate a plurality of material maps corresponding to the scene portrayed by the digital image.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for transferring modifications or deformations from a three-dimensional model of one type to a three-dimensional model of another type. In some embodiments, the disclosed systems receive an indication of a user interaction defining a modification to a three-dimensional model. In some cases, the disclosed systems modify an implicit function corresponding to the three-dimensional model in response to the user interaction. In certain embodiments, the disclosed systems generate a modified three-dimensional model by transferring the modification from the implicit function to the three-dimensional model. Further, in some embodiments, the disclosed systems provide the modified three-dimensional model for display on a client device.

Abstract: Certain aspects and features of this disclosure relate to modeling shapes using differentiable, signed distance functions. 3D modeling software can edit a 3D model represented using the differentiable, signed distance functions while displaying the model in a manner that is computing resource efficient and fast. Further, such 3D modeling software can automatically create such an editable 3D model from a reference representation that can be obtained in various ways and stored in a variety of formats. For example, a real-world object can be scanned using LiDAR and a reference representation can be produced from the LiDAR data. Candidate procedural models from a library of curated procedural models are optimized to obtain the best procedural model for editing. A selected procedural model provides an editable, reconstructed shape based on the reference representation of the object.

Abstract: A method for monitoring the environment of a robot including at least one iteration of a detection phase including the following steps:—acquisition, at a measurement instant, of an image of the depth of the environment, referred to as a measurement image, by the at least one 3D camera,—readjustment of the reference and measurement images, and—detection of a change relating to an object in the environment of the robot by comparing the reference and measurement images. A device that implements such a method and a robot equipped with such a device is also provided.