Generative Models for Unstructured 3D Shapes

Lead Research Organisation: University College London
Department Name: Computer Science


Neural networks have specially been designed for unstructured data (e.g., point clouds, meshes). Such networks have mainly been used for analysing unstructured 3D data, either for classification and/or part segmentation. This thesis will develop new learning frameworks to facilitate synthesis of novel shapes by considering the inverse modelling problem.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S021566/1 01/04/2019 30/09/2027
2253986 Studentship EP/S021566/1 23/09/2019 22/09/2023 Luca Morreale