| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 214 | 2022 |
| Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer HTD Liu, M Tao, CL Li, D Nowrouzezahrai, A Jacobson International Conference on Learning Representations, 2019 | 142* | 2019 |
| Learning smooth neural functions via lipschitz regularization HTD Liu, F Williams, A Jacobson, S Fidler, O Litany ACM SIGGRAPH 2022 Conference Proceedings, 1-13, 2022 | 95 | 2022 |
| Cubic Stylization HTD Liu, A Jacobson ACM Transactions on Graphics (TOG) 38 (6), 197, 2019 | 95* | 2019 |
| Neural subdivision HTD Liu, VG Kim, S Chaudhuri, N Aigerman, A Jacobson arXiv preprint arXiv:2005.01819, 2020 | 86 | 2020 |
| Paparazzi: Surface Editing by way of Multi-View Image Processing HTD Liu, M Tao, A Jacobson ACM Transactions on Graphics (TOG), 2018 | 76 | 2018 |
| Spectral mesh simplification T Lescoat, HTD Liu, JM Thiery, A Jacobson, T Boubekeur, M Ovsjanikov Computer Graphics Forum 39 (2), 315-324, 2020 | 35 | 2020 |
| Spectral Coarsening of Geometric Operators HTD Liu, A Jacobson, M Ovsjanikov ACM Transactions on Graphics (TOG), 2019 | 34 | 2019 |
| A Dirac Operator for Extrinsic Shape Analysis HTD Liu, A Jacobson, K Crane Computer Graphics Forum 36 (5), 139-149, 2017 | 34 | 2017 |
| Surface multigrid via intrinsic prolongation HTD Liu, JE Zhang, M Ben-Chen, A Jacobson arXiv preprint arXiv:2104.13755, 2021 | 29 | 2021 |
| Constructive solid geometry on neural signed distance fields Z Marschner, S Sellán, HTD Liu, A Jacobson SIGGRAPH Asia 2023 Conference Papers, 1-12, 2023 | 20 | 2023 |
| Surface simplification using intrinsic error metrics HTD Liu, M Gillespie, B Chislett, N Sharp, A Jacobson, K Crane ACM Transactions on Graphics 42 (4), 2023 | 16 | 2023 |
| Normal‐Driven Spherical Shape Analogies HTD Liu, A Jacobson Computer Graphics Forum 40 (5), 45-55, 2021 | 15 | 2021 |
| An introduction to deep learning on meshes R Hanocka, HTD Liu ACM SIGGRAPH 2021 Courses, 1-27, 2021 | 11 | 2021 |
| Chordal decomposition for spectral coarsening H Chen, HTD Liu, A Jacobson, DIW Levin arXiv preprint arXiv:2009.02294, 2020 | 9 | 2020 |
| Stabler Neo-Hookean Simulation: Absolute Eigenvalue Filtering for Projected Newton H Chen, HTD Liu, DIW Levin, C Zheng, A Jacobson ACM SIGGRAPH 2024 Conference Papers, 1-10, 2024 | 3 | 2024 |
| Subdividing a three-dimensional mesh utilizing a neural network V Kim, S Chaudhuri, N Aigerman, H Liu, A Jacobson US Patent 11,423,617, 2022 | 3 | 2022 |
| A Unified Differentiable Boolean Operator with Fuzzy Logic HTD Liu, M Agrawala, C Yuksel, T Omernick, V Misra, S Corazza, ... ACM SIGGRAPH 2024 Conference Papers, 1-9, 2024 | 2 | 2024 |
| Differentiable Heightfield Path Tracing with Accelerated Discontinuities X Tong, HTD Liu, Y Gingold, A Jacobson ACM SIGGRAPH 2023 Conference Proceedings, 1-9, 2023 | 2 | 2023 |
| Subdividing a three-dimensional mesh utilizing a neural network V Kim, S Chaudhuri, N Aigerman, H Liu, A Jacobson US Patent 12,118,669, 2024 | 1 | 2024 |