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Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization., , , , , , and . CoRR, (2019)On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations., , , , , , , , and . CoRR, (2020)Motion microscopy for visualizing and quantifying small motions., , , , , , , , , and 4 other author(s). Proc. Natl. Acad. Sci. USA, 114 (44): 11639-11644 (2017)Computational Imaging for Inverse Scattering., , , , , and . Measuring, Modeling, and Reproducing Material Appearance, page 1. Society for Imaging Science and Technology, (2016)Parsing and Summarizing Infographics with Synthetically Trained Icon Detection., , , , , , , , , and . PacificVis, page 31-40. IEEE, (2021)Flexible SVBRDF Capture with a Multi-Image Deep Network., , , , and . Comput. Graph. Forum, 38 (4): 1-13 (2019)Sample-based Monte Carlo denoising using a kernel-splatting network., , , , and . ACM Trans. Graph., 38 (4): 125:1-125:12 (2019)Gradient-Domain Bidirectional Path Tracing., , , , , and . EGSR (EI&I), page 65-74. Eurographics Association, (2015)Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering., , , , and . CoRR, (2021)Taichi: a language for high-performance computation on spatially sparse data structures., , , , and . ACM Trans. Graph., 38 (6): 201:1-201:16 (2019)