Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.
Abstract: We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pixel-wise ...
The SSC CGL 2026 syllabus is divided into Tier 1 and Tier 2, covering subjects like English, Reasoning, General Awareness, and Quantitative Aptitude. Candidates must understand the syllabus and exam ...
Abstract: Free-form surface matching that aligns measured points with a design model is a common problem in manufacturing automation. In this paper, an iterative variance-minimization matching (VMM) ...
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