IEEE transactions on neural networks and learning systems
Efficient and Scalable Point Cloud Generation With Sparse Point-Voxel Diffusion Models.
Ioannis Romanelis, Vlassis Fotis, Athanasios Kalogeras, Christos Alexakos, Adrian Munteanu, Konstantinos Moustakas
Published: 202510.1109/TNNLS.2025.3636409
Abstract
We propose a novel point cloud U-Net diffusion architecture for 3-D generative modeling capable of generating high-quality and diverse 3-D shapes while maintaining fast generation times. Our network employs a dual-branch architecture, combining the h…
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