DiffSAC: Diffusion-guided Sampling for Consensus-based Robust Estimation
Robust estimation is a core computer vision task frequently tackled using sample consensus. However, traditional methods suffer from inefficient sampling as they struggle to identify effective minimum sets before hypothesis evaluation. To address these challenges, we propose a novel Diffusion-guided Sampling for Consensus-based Robust Estimation (DiffSAC) framework. DiffSAC introduces a diffusion…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
