Arianna Rampini

23 papers A* 3Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Scalable Attention-Based Approach for Image-to-3D Texture Mapping.
CoRR
Arianna Rampini, Kanika Madan, Bruno Roy, AmirHossein Zamani, Derek Cheung
2025 J jnl
FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds.
CoRR
Marco Pegoraro, Evan Atherton, Bruno Roy, Aliasghar Khani, Arianna Rampini
2025 J jnl
Missing Fine Details in Images: Last Seen in High Frequencies.
CoRR
Tejaswini Medi, Hsien-Yi Wang, Arianna Rampini, Margret Keuper
2025 J jnl
Motion Generation: A Survey of Generative Approaches and Benchmarks.
CoRR
Aliasghar Khani, Arianna Rampini, Bruno Roy, Larasika Nadela, Noa Kaplan, Evan Atherton, Derek Cheung, Jacky Bibliowicz
2025 J jnl
UniMoGen: Universal Motion Generation.
CoRR
Aliasghar Khani, Arianna Rampini, Evan Atherton, Bruno Roy
2025 J jnl
Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives.
CoRR
AmirHossein Zamani, Bruno Roy, Arianna Rampini
2024 J jnl
3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes.
CoRR
Tejaswini Medi, Arianna Rampini, Pradyumna Reddy, Pradeep Kumar Jayaraman, Margret Keuper
2024 A* conf
Make-A-Shape: a Ten-Million-scale 3D Shape Model.
ICML
Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu
2024 J jnl
Make-A-Shape: a Ten-Million-scale 3D Shape Model.
CoRR
Ka-Hei Hui, Aditya Sanghi, Arianna Rampini, Kamal Rahimi Malekshan, Zhengzhe Liu, Hooman Shayani, Chi-Wing Fu
2024 J jnl
Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings.
CoRR
Aditya Sanghi, Aliasghar Khani, Pradyumna Reddy, Arianna Rampini, Derek Cheung, Kamal Rahimi Malekshan, Kanika Madan, Hooman Shayani
2023 J jnl
Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation.
CoRR
Aditya Sanghi, Pradeep Kumar Jayaraman, Arianna Rampini, Joseph G. Lambourne, Hooman Shayani, Evan Atherton, Saeid Asgari Taghanaki
2023 — conf
Spectral Maps for Learning on Subgraphs.
NeurReps
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
2022 J jnl
Harnessing spectral representations for subgraph alignment.
CoRR
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
2022 — conf
Inverse Computational Spectral Geometry.
Eurographics (Tutorials)
Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin
2021 J jnl
Spectral Shape Recovery and Analysis Via Data-driven Connections.
Int. J. Comput. Vis.
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2021 A* conf
Universal Spectral Adversarial Attacks for Deformable Shapes.
CVPR
Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2021 J jnl
Universal Spectral Adversarial Attacks for Deformable Shapes.
CoRR
Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà
2020 — conf
Instant recovery of shape from spectrum via latent space connections.
3DV
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2020 J jnl
Instant recovery of shape from spectrum via latent space connections.
CoRR
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2019 — conf
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
3DV
Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019 J jnl
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
CoRR
Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019 A* conf
Isospectralization, or How to Hear Shape, Style, and Correspondence.
CVPR
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
2018 J jnl
Isospectralization, or how to hear shape, style, and correspondence.
CoRR
Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà