most citedA Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds

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cs.CV2023

IPVNet: Learning Implicit Point-Voxel Features for Open-Surface 3D Reconstruction

Mohammad Samiul Arshad, William J. Beksi

Reconstruction of 3D open surfaces (e.g., non-watertight meshes) is an underexplored area of computer vision. Recent learning-based implicit techniques have removed previous barrie…

cs.CV2023

LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction

Mohammad Samiul Arshad, William J. Beksi

Accurate reconstruction of both the geometric and topological details of a 3D object from a single 2D image embodies a fundamental challenge in computer vision. Existing explicit/i…

cs.CV2020★ 1 cited

A Progressive Conditional Generative Adversarial Network for Generating Dense and Colored 3D Point Clouds

Mohammad Samiul Arshad, William J. Beksi

In this paper, we introduce a novel conditional generative adversarial network that creates dense 3D point clouds, with color, for assorted classes of objects in an unsupervised ma…