| 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 | 286 | 2018 |
| 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 | 248 | 2019 |
| 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 | 239 | 2020 |
| 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 | 134 | 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), 1-11, 2017 | 122 | 2017 |
| 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 | 72 | 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 | 49 | 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 | 45 | 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 | 41 | 2021 |
| 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 | 39 | 2019 |
| 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 | 39 | 2016 |
| 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 | 36 | 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 | 31 | 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 | 30 | 2020 |
| Learning shape placements by example P Guerrero, S Jeschke, M Wimmer, P Wonka ACM Transactions on Graphics (TOG) 34 (4), 108, 2015 | 28 | 2015 |
| 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 | 27 | 2021 |
| PATEX: Exploring pattern variations P Guerrero, G Bernstein, W Li, NJ Mitra ACM Transactions on Graphics (TOG) 35 (4), 1-13, 2016 | 26 | 2016 |
| 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 | 25 | 2023 |
| 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 | 23 | 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 | 23 | 2020 |
Niloy J. MitraProfessor of Computer Science, University College London (UCL) and Adobe Research LondonVerified email at cs.ucl.ac.uk
