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Found 5 papers, 0 papers with code
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression
This paper studies the problem of sparse residual regression, i. e., learning a linear model using a norm that favors solutions in which the residuals are sparsely distributed.
Deep near-light photometric stereo for spatially varying reflectances
This paper presents a near-light photometric stereo method for spatially varying reflectances.
What is Learned in Deep Uncalibrated Photometric Stereo?
Based on this insight, we propose a guided calibration network, named GCNet, that explicitly leverages object shape and shading information for improved lighting estimation.
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling
We present a practical method for geometric point light source calibration.
Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction
Furthermore, using only geometric accuracy by itself does not allow evaluating systems that either lack a geometric scene representation or utilize coarse proxy geometry.
