NeuMIP: multi-resolution neural materials A Kuznetsov, K Mullia, Z Xu, M Hašan, R Ramamoorthi ACM Transactions on Graphics (TOG) 40 (4), 1-13, 2021 | 77 | 2021 |
Deep Adaptive Sampling for Low Sample Count Rendering A Kuznetsov, NK Kalantari, R Ramamoorthi Computer Graphics Forum 37 (4), 35-44, 2018 | 38 | 2018 |
Learning generative models for rendering specular microgeometry. A Kuznetsov, M Hasan, Z Xu, LQ Yan, B Walter, NK Kalantari, ... ACM Trans. Graph. 38 (6), 225:1-225:14, 2019 | 34 | 2019 |
Rendering neural materials on curved surfaces A Kuznetsov, X Wang, K Mullia, F Luan, Z Xu, M Hasan, R Ramamoorthi ACM SIGGRAPH 2022 conference proceedings, 1-9, 2022 | 27 | 2022 |
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples S Zhu, Z Xu, T Sun, A Kuznetsov, M Meyer, HW Jensen, H Su, ... ACM Transactions on Graphics (TOG) 40 (4), 1-16, 2021 | 9 | 2021 |
Photon-Driven Neural Reconstruction for Path Guiding S Zhu, Z Xu, T Sun, A Kuznetsov, M Meyer, HW Jensen, H Su, ... ACM Transactions on Graphics (TOG) 41 (1), 1-15, 2021 | 8 | 2021 |
Multiple Axis‐Aligned Filters for Rendering of Combined Distribution Effects L Wu, LQ Yan, A Kuznetsov, R Ramamoorthi Computer Graphics Forum 36 (4), 155-166, 2017 | 8 | 2017 |
Photon-Driven Neural Path Guiding S Zhu, Z Xu, T Sun, A Kuznetsov, M Meyer, HW Jensen, H Su, ... arXiv preprint arXiv:2010.01775, 2020 | 1 | 2020 |
Neural Representations for Rendering of Complex Materials A Kuznetsov University of California, San Diego, 2022 | | 2022 |