Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo

Author:

Sarno Francesco1,Kumar Suryansh1,Kaya Berk1,Huang Zhiwu1,Ferrari Vittorio2,Van Gool Luc1

Affiliation:

1. ETH Zürich

2. Google Research

Funder

Google

Publisher

IEEE

Reference75 articles.

1. Gps-net: Graph-based photometric stereo network;yao;Advances in neural information processing systems,2020

2. Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

3. Empirical evaluation of rectified activations in convolutional network;xu,2015

4. Photometric stereo with near point lighting: A solution by mesh deformation

5. Neural architecture search with reinforcement learning;zoph,2016

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi-View Photometric Stereo Revisited;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

2. Uncertainty-Aware Deep Multi-View Photometric Stereo;2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2022-06

3. Self-calibrating Photometric Stereo by Neural Inverse Rendering;Lecture Notes in Computer Science;2022

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