PCPNet Learning Local Shape Properties from Raw Point Clouds P Guerrero, Y Kleiman, M Ovsjanikov, NJ Mitra Computer graphics forum 37 (2), 75-85, 2018 | 344 | 2018 |
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds MJ Rakotosaona, V La Barbera, P Guerrero, NJ Mitra, M Ovsjanikov Computer graphics forum 39 (1), 185-203, 2020 | 303 | 2020 |
Structurenet: Hierarchical graph networks for 3d shape generation K Mo, P Guerrero, L Yi, H Su, P Wonka, N Mitra, LJ Guibas arXiv preprint arXiv:1908.00575, 2019 | 301 | 2019 |
Points2Surf Learning Implicit Surfaces from Point Clouds P Erler, P Guerrero, S Ohrhallinger, NJ Mitra, M Wimmer European Conference on Computer Vision, 108-124, 2020 | 178 | 2020 |
From urban planning and emergency training to Pokémon Go: applications of virtual reality GIS (VRGIS) and augmented reality GIS (ARGIS) in personal, public and environmental health MN Kamel Boulos, Z Lu, P Guerrero, C Jennett, A Steed International journal of health geographics 16, 1-11, 2017 | 127 | 2017 |
Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation T Anciukevičius, Z Xu, M Fisher, P Henderson, H Bilen, NJ Mitra, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 110 | 2023 |
Shapeassembly: Learning to generate programs for 3d shape structure synthesis RK Jones, T Barton, X Xu, K Wang, E Jiang, P Guerrero, NJ Mitra, ... ACM Transactions on Graphics (TOG) 39 (6), 1-20, 2020 | 98 | 2020 |
Generative layout modeling using constraint graphs W Para, P Guerrero, T Kelly, LJ Guibas, P Wonka Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 73 | 2021 |
FrankenGAN: guided detail synthesis for building mass-models using style-synchonized GANs T Kelly, P Guerrero, A Steed, P Wonka, NJ Mitra arXiv preprint arXiv:1806.07179, 2018 | 60 | 2018 |
Sketchgen: Generating constrained cad sketches W Para, S Bhat, P Guerrero, T Kelly, N Mitra, LJ Guibas, P Wonka Advances in Neural Information Processing Systems 34, 5077-5088, 2021 | 57 | 2021 |
3d-ldm: Neural implicit 3d shape generation with latent diffusion models G Nam, M Khlifi, A Rodriguez, A Tono, L Zhou, P Guerrero arXiv preprint arXiv:2212.00842, 2022 | 47 | 2022 |
Relationship templates for creating scene variations X Zhao, R Hu, P Guerrero, N Mitra, T Komura ACM Transactions on Graphics (TOG) 35 (6), 1-13, 2016 | 43 | 2016 |
iMapper: interaction-guided scene mapping from monocular videos A Monszpart, P Guerrero, D Ceylan, E Yumer, NJ Mitra ACM Transactions On Graphics (TOG) 38 (4), 1-15, 2019 | 41 | 2019 |
StructEdit: Learning structural shape variations K Mo, P Guerrero, L Yi, H Su, P Wonka, NJ Mitra, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 40 | 2020 |
Learning delaunay surface elements for mesh reconstruction MJ Rakotosaona, P Guerrero, N Aigerman, NJ Mitra, M Ovsjanikov Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
Shapemod: Macro operation discovery for 3d shape programs RK Jones, D Charatan, P Guerrero, NJ Mitra, D Ritchie ACM Transactions on Graphics (TOG) 40 (4), 1-16, 2021 | 34 | 2021 |
Pix2surf: Learning parametric 3d surface models of objects from images J Lei, S Sridhar, P Guerrero, M Sung, N Mitra, LJ Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 33 | 2020 |
Tilegen: Tileable, controllable material generation and capture X Zhou, M Hasan, V Deschaintre, P Guerrero, K Sunkavalli, NK Kalantari SIGGRAPH Asia 2022 conference papers, 1-9, 2022 | 31 | 2022 |
Discovering pattern structure using differentiable compositing P Reddy, P Guerrero, M Fisher, W Li, NJ Mitra ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020 | 31 | 2020 |
Matformer: A generative model for procedural materials P Guerrero, M Hašan, K Sunkavalli, R Měch, T Boubekeur, NJ Mitra arXiv preprint arXiv:2207.01044, 2022 | 28 | 2022 |