Showing cs.CVShow all
3 papers · 1 filter
cs.CV2025
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…
cs.CV2025
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…
cs.CV2025
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…