Arianna Rampini

Researcher, Autodesk

Joined

December 2019

Names

Arianna Rampini

Emails

****@uniroma1.it (Confirmed)

****@di.uniroma1.it (Confirmed)

****@gmail.com (Confirmed)

****@autodesk.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Autodesk (autodesk.com)

2022 – Present

PhD student

Sapienza University of Rome (uniroma1.it)

2018 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Emanuele Rodolà

2018 – 2022

Expertise

Geometry processing

Shape analysis

3D deep learning

2018 – Present

Publications

Eq-WaLa: Equivariant Augmentation and Regularization for Wavelet Latent Flow Matching
Ka-Hei Hui, Arianna Rampini, Pradyumna Reddy, Mehdi Safaee, Aditya Sanghi, Pradeep Kumar Jayaraman
- ICLR 2026 Workshop GRaM Poster
- Readers: Everyone
A Scalable Attention-Based Approach for Image-to-3D Texture Mapping
Arianna Rampini, Kanika Madan, Bruno Roy, AmirHossein Zamani, Derek Cheung
- International Conference on 3D Vision (3DV) 2026
- Readers: Everyone
Unsupervised Representation Learning for 3D Mesh Parameterization with Semantic and Visibility Objectives
AmirHossein Zamani, Bruno Roy, Arianna Rampini
- ICLR 2026 Poster
- Readers: Everyone
FAVAE-Effective Frequency Aware Latent Tokenizer
Tejaswini Medi, Hsien-Yi Wang, Arianna Rampini, Margret Keuper
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
A Scalable Attention-Based Approach for Image-to-3D Texture Mapping
Arianna Rampini, Kanika Madan, Bruno Roy, AmirHossein Zamani, Derek Cheung
- 3DV 2026 Poster
- Readers: Everyone
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
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
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
- ICML 2024 Poster
- Readers: Everyone
Spectral Maps for Learning on Subgraphs
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
- NeurReps 2023 Oral
- Readers: Everyone
Harnessing spectral representations for subgraph alignment
Marco Pegoraro, Riccardo Marin, Arianna Rampini, Simone Melzi, Luca Cosmo, Emanuele Rodolà
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Inverse Computational Spectral Geometry
Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin
- 2022 (modified: 14 Nov 2022)
- Eurographics (Tutorials) 2022
- Readers: Everyone

View all 16 publications

Co-Authors

View all 29 co-authors