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
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
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.· 2026 6th International Confe...· 0 citations
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