3 papers
cs.CV2026
Point Cloud Upsampling through Patch-based Frequency Superposition
Marina Ritthaler, Azhar Hussian, Vasileios Belagiannis +1
In recent years, neural networks have become the dominant models in most point cloud upsampling methods. Although these approaches are achieving good results, they do have drawback…
cs.CV2026
I2PRef: Image-Driven Point Completion with Iterative Refinement
Azhar Hussian, Marina Ritthaler, André Kaup +1
We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image…
cs.CV2026
Depth Edge Alignment Loss: DEALing with Depth in Weakly Supervised Semantic Segmentation
Patrick Schmidt, Vasileios Belagiannis, Lazaros Nalpantidis
Autonomous robotic systems applied to new domains require an abundance of expensive, pixel-level dense labels to train robust semantic segmentation models under full supervision. T…