Abstract: This disclosure notably relates to a computer-implemented method for forming a dataset configured for learning a neural network architecture configured for inferring missing image details of a point cloud rendering. The method comprises the steps of obtaining a 3D mesh scene, computing a point cloud representation of the 3D mesh scene, generating one or more camera views of the 3D mesh scene and the point cloud representation. For each camera view, the method renders a viewpoint of the point cloud representation, of the 3D mesh scene, computes another point cloud representation of the viewpoint of the 3D mesh scene, and renders a viewpoint of the other point cloud representation. The method also comprises obtaining a pair of training samples, each comprising respectively the rendered viewpoint of the point cloud representation and the rendered viewpoint of the other point cloud representation; and adding the pair of training samples to the dataset.

Abstract: A computer-implemented method of machine-learning is described that includes obtaining a test dataset of scenes. The test dataset belongs to a test domain. The method includes obtaining a domain-adaptive neural network. The domain-adaptive neural network is a machine-learned neural network taught using data obtained from a training domain. The domain-adaptive neural network is configured for inference of spatially reconfigurable objects in a scene of the test domain. The method further includes determining an intermediary domain. The intermediary domain is closer to the training domain than the test domain in terms of data distributions. The method further includes inferring, by applying the domain-adaptive neural network, a spatially reconfigurable object from a scene of the test domain transferred on the intermediary domain. Such a method constitutes an improved method of machine learning with a dataset of scenes comprising spatially reconfigurable objects.

Abstract: The disclosure notably relates to a computer-implemented method for simulating evolution of a tumor associated to an oncogene. The method includes providing a plurality of pieces of data, each corresponding to a given cell of the tumor, and includes a degree of activation of the oncogene in the given cell. The method further includes providing a model configured to take an input piece of data and to output information on proliferation of the respective given cell corresponding to the input piece of data. The information on proliferation depends on the degree of activation of the oncogene. The method further includes running the model on one or more pieces of data of the plurality of pieces of data and updating the plurality of pieces of data based on the result of the running. Such a method improves the simulation of the evolution of a tumor.

Abstract: A computer-implemented method including obtaining a mesh representing a segment of an outer surface of a portion of a mechanical part. The method further including determining curves over the mesh that each follows maximal curvature directions of the mesh, fitting each curve with a respective circle, thereby obtaining a set of circles, and calculating a value of one or more statistics of the set of circles. The method then detects whether the mesh is a fillet or not as a function of the value of the one or more statistics.

Abstract: A computer-implemented method for designing a three-dimensional (3D) mesh in a 3D scene. The method comprises displaying a 3D mesh in a 3D scene and providing a global orientation and selecting, with a pointing device, one or more vertices of the 3D mesh, thereby forming a set of one or more vertices. The method comprises computing at least one picking zone that surrounds each vertex of the set. The method comprises providing a first manipulator for controlling a displacement of each vertex of the set along one or more NUV directions and determining whether the pointing device is maintained within the picking zone. If not, the method comprises providing a second manipulator for controlling a displacement of the one or more vertices of the set along one or more directions defined by the global orientation. The method improves user interactions for switching back and forth a first and second manipulators.

Abstract: Systems, methods, and computer program products can be used for visualizing the behavior of flow of two or more fluid phases, wherein a fluid phase behavior is represented in a visualization. One of the methods includes determining an occupation time, which is the amount of elapsed time from when a fluid phase first occupies a particular location until a second time. The method includes generating data for a visualization, with a location in the visualization corresponding to the particular location, and with the generated data for that location in the visualization indicating the occupation time.

Abstract: A computer-implemented method for designing a 3D modeled object of a physical prototype of a product. The 3D modeled object includes a wireframe based on at least one character line. The method includes computing a segmentation of an obtained mesh, therefore obtaining at least two regions from the obtained mesh and at least one boundary polyline between the at least two regions. Then the method comprises transforming each of the at least one boundary polyline in at least one character line. The method further comprises computing a network of the at least one character line, the network of the at least one character line forming the wireframe of the 3D modeled object.

Abstract: The disclosure notably relates to a computer-implemented method for designing, with a CAD system, a 3D modeled object representing a mechanical part. The method includes obtaining a B-rep representing the mechanical part. The B-Rep has faces and edges. The method further includes obtaining a first set of faces and a feature type. The feature type is either a depression feature type or a protrusion feature type. The method further comprises, automatically by the CAD system, recognizing a second set of faces within the first set of faces. The second set of faces represents a feature of the provided feature type. This constitutes an improved method for designing a mechanical part.

Abstract: A computer implemented method for embedding a marker in an image or video content including receiving an input image or frame for embedding, determining a binary message to be encoded within said input image or frame comprising bits sequences having an identical number of bits which is superior or equal to two, said binary message comprising at least a header part comprising at least two consecutive bits sequences which are not identical, detecting a region within said input image or frame such that the color within said region is uniform and that said region presents a chosen length and height, associating each possible bits sequence to a corresponding encoding color determined from the color within said uniform region and an encoding rule such that the respective colors are all different from one another, and generating a marker color table in which each element stores an encoding color associated to a bits sequence of the binary message, such that the color table constitutes a color encoding of the binary

Abstract: A computer-implemented method for generating a 3D model representing a factory. The method includes obtaining a point cloud from a scan of the factory and fitting the point cloud with linear CAD extrusions. Such a method is an improved solution for generating a 3D model representing a factory.

Abstract: The disclosure notably relates to computer-implemented method for learning a neural network configured for inference, from a freehand drawing representing a 3D shape, of a solid CAD feature representing the 3D shape. The method includes providing a dataset including freehand drawings each representing a respective 3D shape, and learning the neural network based on the dataset. The method forms an improved solution for inference, from a freehand drawing representing a 3D shape, of a 3D modeled object representing the 3D shape.

Abstract: A computer-implemented method of machine-learning including obtaining a training dataset of B-rep graphs. Each B-rep graph represents a respective B-rep. Each B-rep graph comprises graph nodes each representing an edge, a face or a co-edge of the respective B-rep and being associated with one or more geometrical and/or topological features. Each B-rep graph includes graph edges each between a respective first graph node representing a respective co-edge and a respective second graph node representing a face, an edge, an adjacent co-edge, or a mating co-edge associated with the respective co-edge. The method further includes learning, based on the training dataset, a Deep CAD neural network. The Deep CAD neural network is configured to take as input a B-rep graph and to output a topological signature of the B-rep represented by the input B-rep graph.

Abstract: Disclosed are computer implemented techniques for conducting a fluid simulation of a porous medium. These techniques involve retrieving a representation of a three dimensional porous medium, the representation including pore space corresponding to the porous medium, with the representation including at least one portion of under-resolved pore structure in the porous medium, defining a representative flow model that includes the under-resolved pore structure in the representation, and constructing by the computer system fluid force curves that correspond to fluid forces in the under-resolved pore structure in the representation.

Abstract: A computer-implemented method for 3D reconstruction including obtaining 2D images and, for each 2D image, camera parameters which define a perspective projection. The 2D images all represent a same real object. The real object is fixed. The method also includes obtaining, for each 2D image, a smooth map. The smooth map has pixel values, and each pixel value represents a measurement of contour presence. The method also includes determining a 3D modeled object that represents the real object. The determining iteratively optimizes energy. The energy rewards, for each smooth map, projections of silhouette vertices of the 3D modeled object having pixel values representing a high measurement of contour presence. This forms an improved solution for 3D reconstruction.

Abstract: A computer-implemented method of machine-learning including obtaining a dataset of 3D point clouds. Each 3D point cloud includes at least one object. Each 3D point cloud is equipped with a specification of one or more graphical user-interactions each representing a respective selection operation of a same object in the 3D point cloud. The method further includes teaching, based on the dataset, a neural network configured for segmenting an input 3D point cloud including an object. The segmenting is based on the input 3D point cloud and on a specification of one or more input graphical user-interactions each representing a respective selection operation of the object in the 3D point cloud.

Abstract: The disclosure notably relates to a computer-implemented method for displaying a simulation. The method includes computing a full simulation. The full simulation includes states. The method further includes computing a reduced model of the computed full simulation. The reduced model includes a basis with elements. Each state of the full simulation is represented by a respective linear combination of basis elements. The method further includes displaying, for at least one state of the full simulation, a part of the respective linear combination. This constitutes an improved method for displaying a simulation.

Abstract: A computer implemented method for designing a 3D object in a scene including obtaining a 3D grid of cubes in the scene, said 3D grid of cubes controlling a subdivision surface, said subdivision surface modeling the 3D object, receiving a user stroke of a curve on at least one external face of at least a cube of the grid of cubes, determining a first set of cubes which intersect with the curve on the external face, a second set of cubes which is adjacent to the first set of cubes, perpendicularly to the external face, and a third set of cubes, called intersected cubes, comprising the first set of cubes and the second set of cubes, and for each intersected cube, deforming the intersected cube by moving at least one vertex of said intersected cube so as to fit the curve thereby deforming the subdivision surface.

Abstract: A three dimensional (3D) backshell component is flattened to a two dimensional (2D) representation while maintaining a connected wiring component in 3D. Sketch segments for a curved 3D backshell connected first route segment within the backshell housing are stored. A first tangent is computed for a first entry point at a first end point of the connected first route segment, and a flattened route is calculated for route segments unconnected to the backshell. A flattened route position and a second tangent are calculated for a second route segment connected with the first route segment at a second entry point corresponding to the first entry point. The first entry point and the second entry point are aligned, and the first tangent and the second tangent are aligned, and the flattened unconnected route segment aligned with the 3D backshell component is displayed.

Abstract: The disclosure relates to a computer-implemented method comprising inputting a representation of a 3D modeled object to an abstraction neural network which outputs a first set of a first number of first primitives fitting the 3D modeled object; and determining, from the first set, one or more second sets each of a respective second number of respective second primitives. The second number is lower than the first number. The determining includes initializing a third set of third primitives as the first set and performing one or more iterations, each comprising to merging one or more subsets of third primitives together each into one respective single fourth primitive, to thereby obtain a fourth set of fourth primitives. Each iteration further comprises setting the third set of a next iteration as the fourth set of a current iteration and setting the one or more second sets as one or more obtained fourth sets.

Abstract: Embodiments simulate a manufacturing resource including a cable by creating a polyline model of the cable that includes a collection of points. For each point, there is an associated point mass and zero mass sphere, and an assigned elasticity and torsional stiffness between the point and adjacent points. Position and orientation of a start point and an end point of the points is defined based upon position in three dimensional (3D) space of a manufacturing resource. In turn, a simulation of the cable for a time step is performed by computing forces on each point using: (i) the associated point mass, (ii) the associated zero mass sphere, (iii) the assigned elasticity and torsional stiffness between the point and adjacent points, and (iv) the defined position and orientation of the start point and end point. Performing the simulation determines position in 3D space of each point based on the computed forces.