| Let there be color! Large-scale texturing of 3D reconstructions M Waechter, N Moehrle, M Goesele Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 332 | 2014 |
| MVE—An image-based reconstruction environment S Fuhrmann, F Langguth, N Moehrle, M Waechter, M Goesele Computers & Graphics 53, 44-53, 2015 | 78 | 2015 |
| Rapid, detail-preserving image downscaling N Weber, M Waechter, SC Amend, S Guthe, M Goesele ACM Transactions on Graphics (TOG) 35 (6), 1-6, 2016 | 69 | 2016 |
| Virtual rephotography: Novel view prediction error for 3D reconstruction M Waechter, M Beljan, S Fuhrmann, N Moehrle, J Kopf, M Goesele ACM Transactions on Graphics (TOG) 36 (1), 1-11, 2017 | 49 | 2017 |
| What is Learned in Deep Uncalibrated Photometric Stereo? G Chen, M Waechter, B Shi, KYK Wong, Y Matsushita European Conference on Computer Vision, 2020 | 36 | 2020 |
| Deep near-light photometric stereo for spatially varying reflectances H Santo, M Waechter, Y Matsushita European Conference on Computer Vision, 2020 | 27 | 2020 |
| Photometric Stereo via Discrete Hypothesis-and-Test Search K Enomoto, M Waechter, KN Kutulakos, Y Matsushita Computer Vision and Pattern Recognition, 2020 | 15 | 2020 |
| Is your permutation algorithm unbiased for n≠2^m? M Waechter, K Hamacher, F Hoffgaard, S Widmer, M Goesele Parallel Processing and Applied Mathematics, 297-306, 2012 | 11 | 2012 |
| Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery X Cao, M Waechter, B Shi, Y Gao, B Zheng, Y Matsushita Computer Vision and Pattern Recognition, 2020 | 10 | 2020 |
| A Fast, Massively Parallel Solver for Large, Irregular Pairwise Markov Random Fields D Thuerck, M Waechter, S Widmer, M von Buelow, P Seemann, ... Proceedings of High Performance Graphics 2016, 2016 | 9 | 2016 |
| Using graphics processing units to investigate molecular coevolution M Waechter, K Jaeger, D Thuerck, S Weissgraeber, S Widmer, M Goesele, ... Concurrency and Computation: Practice and Experience 26 (6), 1278-1296, 2014 | 8 | 2014 |
| Light structure from pin motion: Geometric point light source calibration H Santo, M Waechter, WY Lin, Y Sugano, Y Matsushita International Journal of Computer Vision, 2020 | 6 | 2020 |
| Light structure from pin motion: Simple and accurate point light calibration for physics-based modeling H Santo, M Waechter, M Samejima, Y Sugano, Y Matsushita Proceedings of the European conference on computer vision (ECCV), 3-18, 2018 | 6 | 2018 |
| Information-Theoretic Analysis of Molecular (Co)Evolution Using Graphics Processing Units M Waechter, K Jaeger, S Weissgraeber, S Widmer, M Goesele, ... Proceedings of the 3rd International Workshop on Emerging Computational …, 2012 | 6 | 2012 |
| An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression D Iwata, M Waechter, W Lin, Y Matsushita European Conference on Computer Vision, 2020 | 2 | 2020 |
| Shape and albedo recovery by your phone using stereoscopic flash and no-flash photography X Cao, M Waechter, B Shi, Y Gao, B Zheng, F Okura, Y Matsushita International Journal of Computer Vision 130 (6), 1403-1415, 2022 | 1 | 2022 |
| Discrete Search Photometric Stereo for Fast and Accurate Shape Estimation K Enomoto, M Waechter, F Okura, KN Kutulakos, Y Matsushita IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | | 2022 |
| Novel View Prediction Error as a Quality Metric for Image-Based Modeling and Rendering M Waechter Technische Universität, 2017 | | 2017 |
| Supplemental Material for "Virtual Rephotography: Novel View Prediction Error for 3D Reconstruction" M Waechter, M Beljan, S Fuhrmann, N Moehrle, J Kopf, M Goesele | | 2017 |
| Massively Parallel Computation of Null-models Describing Molecular Co-evolution M Wächter | | 2011 |
Michael GoeseleMeta Reality Labs ResearchVerified email at goesele.org
