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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Nico Leuze

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Preprint Oct 2026

LiDAR Resolution Recovery via Foundation-Model-Guided Diffusion

High-beam-count LiDAR sensors are costly, yet many perception pipelines require dense angular sampling. Using a pretrained Stable Diffusion model as the backbone, we fine-tune a LiDAR-conditioned depth model with pseudo-depth targets from a 2D foundation model. During training, the LiDAR conditioning is randomly decima...

Samed Doğan, Nico Leuze, Alfred Schöttl · 0 citations
Preprint Sep 2026

Geometry Without Coordinates: LiDAR Diffusion as a 3D Feature Bridge

It is indicated that LiDAR-conditioned diffusion models can induce structured 3D representations from 2D supervision alone, with a modality-dependent manifold that locally unifies near a shared bottleneck.

Samed Doğan, Nico Leuze, Alfred Schöttl · 1 citation
Conference Jul 2026

Diffusion-Driven Point Cloud Adaption for Depth-Only 6D Pose Estimation in Cluttered Robotics Bin-Picking

D pose estimation in densely-packed, industrial environments remains a challenging perception problem due to severe occlusions, sensor noise, and the fragmentary nature of reconstructed 3D observations. To this end, we present a generative module for holistic, depth-only 6D pose estimation in cluttered bin-picking that...

Samed Doğan, Nico Leuze, Nicolas Rodriguez-Pena et al. · 0 citations

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