Arianna Rampini

According to our database, Arianna Rampini authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Scalable Attention-Based Approach for Image-to-3D Texture Mapping.

Arianna Rampini, Kanika Madan, Bruno Roy, AmirHossein Zamani, Derek Cheung

Proceedings of the International Conference on 3D Visio, 2026

2025

FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds.

Marco Pegoraro, Evan Atherton, Bruno Roy, Aliasghar Khani, Arianna Rampini

CoRR, December, 2025

Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives.

AmirHossein Zamani, Bruno Roy, Arianna Rampini

CoRR, September, 2025

Missing Fine Details in Images: Last Seen in High Frequencies.

Tejaswini Medi, Hsien-Yi Wang, Arianna Rampini, Margret Keuper

CoRR, September, 2025

Motion Generation: A Survey of Generative Approaches and Benchmarks.

Aliasghar Khani, Arianna Rampini, Bruno Roy, Larasika Nadela, Noa Kaplan, Evan Atherton, Derek Cheung, Jacky Bibliowicz

CoRR, July, 2025

UniMoGen: Universal Motion Generation.

Aliasghar Khani, Arianna Rampini, Evan Atherton, Bruno Roy

CoRR, May, 2025

2024

3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes.

Tejaswini Medi, Arianna Rampini, Pradyumna Reddy, Pradeep Kumar Jayaraman, Margret Keuper

CoRR, 2024

Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings.

Aditya Sanghi, Aliasghar Khani, Pradyumna Reddy, Arianna Rampini, Derek Cheung, Kamal Rahimi Malekshan, Kanika Madan, Hooman Shayani

CoRR, 2024

Make-A-Shape: a Ten-Million-scale 3D Shape Model.

Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation.

Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki

CoRR, 2023

Spectral Maps for Learning on Subgraphs.

Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

2022

Harnessing spectral representations for subgraph alignment.

Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà

CoRR, 2022

Inverse Computational Spectral Geometry.

Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin

Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022

2021

Spectral Shape Recovery and Analysis Via Data-driven Connections.

Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi

Int. J. Comput. Vis., 2021

Universal Spectral Adversarial Attacks for Deformable Shapes.

Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Instant recovery of shape from spectrum via latent space connections.

Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Isospectralization, or How to Hear Shape, Style, and Correspondence.

Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.

Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà

Proceedings of the 2019 International Conference on 3D Vision, 2019