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Rethinking Inductive Biases for Surface Normal Estimation
March 4, 2024, 5:45 a.m. | Gwangbin Bae, Andrew J. Davison
cs.CV updates on arXiv.org arxiv.org
Abstract: Despite the growing demand for accurate surface normal estimation models, existing methods use general-purpose dense prediction models, adopting the same inductive biases as other tasks. In this paper, we discuss the inductive biases needed for surface normal estimation and propose to (1) utilize the per-pixel ray direction and (2) encode the relationship between neighboring surface normals by learning their relative rotation. The proposed method can generate crisp - yet, piecewise smooth - predictions for challenging …
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