Riccardo de Lutio

According to our database, Riccardo de Lutio authored at least 16 papers between 2019 and 2026.

Collaborative distances:

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

2026

Déjà View: Looping Transformers for Multi-View 3D Reconstruction.

Alessandro Burzio, Tobias Fischer, Sven Elflein, Qunjie Zhou, Riccardo de Lutio, Jiawei Ren, Jiahui Huang, Shengyu Huang, Marc Pollefeys, Laura Leal-Taixé, Zan Gojcic, Haithem Turki

CoRR, May, 2026

ArtiFixer: Enhancing and Extending 3D Reconstruction with Auto-Regressive Diffusion Models.

Riccardo de Lutio, Tobias Fischer, Yen-Yu Chang, Yuxuan Zhang, Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Katarína Tóthová, Zan Gojcic, Haithem Turki

CoRR, March, 2026

DiffusionHarmonizer: Bridging Neural Reconstruction and Photorealistic Simulation with Online Diffusion Enhancer.

Yuxuan Zhang, Katarína Tóthová, Zian Wang, Kangxue Yin, Haithem Turki, Riccardo de Lutio, Yen-Yu Chang, Or Litany, Sanja Fidler, Zan Gojcic

CoRR, February, 2026

2025

SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms.

Haithem Turki, Qi Wu, Xin Kang, Janick Martinez Esturo, Shengyu Huang, Ruilong Li, Zan Gojcic, Riccardo de Lutio

CoRR, October, 2025

FlorID - A nationwide identification service for plants from photos and habitat information.

Philipp Brun, Lucienne de Witte, Manuel Richard Popp, Damaris Zurell, Dirk Nikolaus Karger, Patrice Descombes, Riccardo de Lutio, Jan Dirk Wegner, Christophe Bornand, Stefan Eggenberg, Tasko Olevski, Niklaus E. Zimmermann

Environ. Model. Softw., 2025

Towards Learning to Complete Anything in Lidar.

Ayça Takmaz, Cristiano Saltori, Neehar Peri, Tim Meinhardt, Riccardo de Lutio, Laura Leal-Taixé, Aljosa Osep

Proceedings of the Forty-second International Conference on Machine Learning, 2025

OmniRe: Omni Urban Scene Reconstruction.

Ziyu Chen, Jiawei Yang, Jiahui Huang, Riccardo de Lutio, Janick Martinez Esturo, Boris Ivanovic, Or Litany, Zan Gojcic, Sanja Fidler, Marco Pavone, Li Song, Yue Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes.

Nicolas Moënne-Loccoz, Ashkan Mirzaei, Or Perel, Riccardo de Lutio, Janick Martinez Esturo, Gavriel State, Sanja Fidler, Nicholas Sharp, Zan Gojcic

ACM Trans. Graph., December, 2024

NAFlora-1M: Continental-Scale High-Resolution Fine-Grained Plant Classification Dataset.

John Park, Riccardo de Lutio, Brendan Rappazzo, Barbara Ambrose, Fabian Michelangeli, Kimberly Watson, Serge J. Belongie, Damon Little

J. Data-centric Mach. Learn. Res., 2024

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting.

Ashkan Mirzaei, Riccardo de Lutio, Seung Wook Kim, David Acuna, Jonathan Kelly, Sanja Fidler, Igor Gilitschenski, Zan Gojcic

CoRR, 2024

2023

Exploiting Multimodal Data in Computer Vision with Applications to Super-Resolution and Classification.

Riccardo de Lutio

PhD thesis, 2023

2022

Learning Graph Regularisation for Guided Super-Resolution.

Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Digital Taxonomist: Identifying Plant Species in Citizen Scientists' Photographs.

Riccardo de Lutio, Yihang She, Stefano D'Aronco, Stefania Russo, Philipp Brun, Jan D. Wegner, Konrad Schindler

CoRR, 2021

The Herbarium 2021 Half-Earth Challenge Dataset.

Riccardo de Lutio, Damon Little, Barbara Ambrose, Serge J. Belongie

CoRR, 2021

2019

Guided Super-Resolution as a Learned Pixel-to-Pixel Transformation.

Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler

CoRR, 2019

Guided Super-Resolution As Pixel-to-Pixel Transformation.

Riccardo de Lutio, Stefano D'Aronco, Jan Dirk Wegner, Konrad Schindler

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019