The increased availability of multi-view data (data on the same samples from multiple sources) has led to strong interest in models based on low-rank matrix factorizations. These models represent each ...

Multi-view clustering algorithms have emerged as a pivotal area of machine learning research, designed to integrate and exploit diverse sources of data depiction.

The VFusion3D foundation model has been trained with nearly 3 million "synthetic multi-view data," the researchers say, and is now capable of generating a new 3D asset from a single (2D, we assume ...