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ORCIDMarie-Julie Rakotosaona
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2020 – today
- 2024
[c10]Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari:
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. 3DV 2024: 1156-1165- [c9]Mathias Vogel, Keisuke Tateno, Marc Pollefeys
, Federico Tombari, Marie-Julie Rakotosaona, Francis Engelmann:
P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising. ECCV (2) 2024: 184-201 - [i14]Michael Niemeyer, Fabian Manhardt, Marie-Julie Rakotosaona, Michael Oechsle, Daniel Duckworth, Rama Gosula, Keisuke Tateno, John Bates, Dominik Kaeser, Federico Tombari:
RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPS. CoRR abs/2403.13806 (2024) - [i13]Mathias Vogel, Keisuke Tateno, Marc Pollefeys, Federico Tombari, Marie-Julie Rakotosaona, Francis Engelmann:
P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising. CoRR abs/2408.16325 (2024) - 2023
- [c8]Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, Federico Tombari:
SPARF: Neural Radiance Fields from Sparse and Noisy Poses. CVPR 2023: 4190-4200 - [c7]Dario Pavllo, David Joseph Tan, Marie-Julie Rakotosaona, Federico Tombari:
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion. CVPR 2023: 4391-4401 - [c6]Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. ICCV 2023: 17545-17556 - [i12]Marie-Julie Rakotosaona, Fabian Manhardt, Diego Martín Arroyo, Michael Niemeyer, Abhijit Kundu, Federico Tombari:
NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes. CoRR abs/2303.09431 (2023) - [i11]Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan:
SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. CoRR abs/2304.14340 (2023) - [i10]Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari:
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections. CoRR abs/2312.13285 (2023) - 2022
- [i9]Dario Pavllo, David Joseph Tan, Marie-Julie Rakotosaona, Federico Tombari:
Shape, Pose, and Appearance from a Single Image via Bootstrapped Radiance Field Inversion. CoRR abs/2211.11674 (2022) - [i8]Prune Truong, Marie-Julie Rakotosaona, Fabian Manhardt, Federico Tombari:
SPARF: Neural Radiance Fields from Sparse and Noisy Poses. CoRR abs/2211.11738 (2022) - 2021
- [b1]Marie-Julie Rakotosaona:
Learning-based representations and methods for 3D shape analysis, manipulation and reconstruction. (Représentations et méthodes basées sur l'apprentissage pour l'analyse, la manipulation et la reconstruction de formes en 3D). Polytechnic Institute of Paris, Palaiseau, France, 2021 - [j2]Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero:
Differentiable surface triangulation. ACM Trans. Graph. 40(6): 267:1-267:13 (2021) - [c5]Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. CVPR 2021: 22-31 - [i7]Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero:
Differentiable Surface Triangulation. CoRR abs/2109.10695 (2021) - 2020
- [j1]Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov:
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds. Comput. Graph. Forum 39(1): 185-203 (2020) - [c4]Marie-Julie Rakotosaona, Maks Ovsjanikov:
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. ECCV (2) 2020: 655-672 - [c3]Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov:
Correspondence learning via linearly-invariant embedding. NeurIPS 2020 - [i6]Marie-Julie Rakotosaona, Maks Ovsjanikov:
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. CoRR abs/2004.01661 (2020) - [i5]Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov:
Correspondence Learning via Linearly-invariant Embedding. CoRR abs/2010.13136 (2020) - [i4]Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. CoRR abs/2012.01203 (2020)
2010 – 2019
- 2019
- [c2]Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov:
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels. 3DV 2019: 47-56 - [c1]Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. ICCV 2019: 8587-8596 - [i3]Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov:
POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds. CoRR abs/1901.01060 (2019) - [i2]Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. CoRR abs/1904.10754 (2019) - [i1]Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov:
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. CoRR abs/1906.11555 (2019)
Coauthor Index
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