Synthetic data are most valuable where general-purpose datasets cannot provide the domain-specific priors a task requires, and where manual annotation is expensive, imprecise, or infeasible. In this article we argue that the central question for specialized vision systems is not how to generate more data, but which dat...
Saptarshi Neil Sinha, P. Kühn, M. Weinmann· 0 citations
Computer-aided design is central to industrial manufacturing, and much of a designer's daily work consists of editing existing models from multimodal requests involving speech, sketches, and model interaction. Existing neural CAD approaches focus predominantly on unconditional or text-conditioned generation. The neural...
Saptarshi Neil Sinha, Mika Silvan Goschke, P. Kühn et al.· 0 citations
Spectral computed tomography (CT) extends conventional CT by measuring attenuation across multiple energy channels, allowing improved modeling of physical X-ray interactions and energy-dependent material behavior and leading to richer scene understanding. We present a novel method for spectral CT reconstruction and bas...
Reinout Vos, Saptarshi Neil Sinha, M. Weinmann· 0 citations
Real-time 6DoF object pose estimation on resource-constrained hardware remains challenging, as accurate correspondence-based and refinement pipelines typically rely on non-differentiable PnP/RANSAC stages or costly iterative refinement, while recent foundation-model-based approaches incur inference costs that are prohi...
P. Kühn, Duc Anh Nguyen, Saptarshi Neil Sinha et al.· 0 citations
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