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Contextual Scene Augmentation and Synthesis via GSACNet
Indoor scene augmentation has become an emerging topic in the field of computer vision and graphics with applications in augmented and virtual reality.
GenScan: A Generative Method for Populating Parametric 3D Scan Datasets
To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion.
Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation
Recent advances in computer graphics and computer vision have found successful application of deep neural network models for 3D shapes based on signed distance functions (SDFs) that are useful for shape representation, retrieval, and completion.
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