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Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
We then perform a continuous relaxation of this search space and present a gradient-based optimization strategy to find an efficient light calibration and normal estimation network.
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo
Our method performs neural rendering of multi-view images while utilizing surface normals estimated by a deep photometric stereo network.
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