5 papers
PUFM++: Point Cloud Upsampling via Enhanced Flow Matching
Zhi-Song Liu, Chenhang He, Roland Maier +1
Recent advances in generative modeling have demonstrated strong promise for high-quality point cloud upsampling. In this work, we present PUFM++, an enhanced flow-matching framewor…
Cellular Automaton With CNN
Valery Ashu, Zhisong Liu, Heikki Haario +1
Cellular automata (CA) models are widely used to simulate complex systems with emergent behaviors, but identifying hidden parameters that govern their dynamics remains a significan…
Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
Ilmari Vahteristo, Zhi-Song Liu, Andreas Rupp
Reconstructing an image from its Radon transform is a fundamental computed tomography (CT) task arising in applications such as X-ray scans. In many practical scenarios, a full 180…
Efficient Point Clouds Upsampling via Flow Matching
Zhi-Song Liu, Chenhang He, Lei Li
Diffusion models are a powerful framework for tackling ill-posed problems, with recent advancements extending their use to point cloud upsampling. Despite their potential, existing…
Multiscale Corrections by Continuous Super-Resolution
Zhi-Song Liu, Roland Maier, Andreas Rupp
Finite element methods typically require a high resolution to satisfactorily approximate micro and even macro patterns of an underlying physical model. This issue can be circumvent…