4 papers
Thomson: Continual Learning of Frontier Models for SovereignAI
Shengzhuang Chen, Jerrod Parker, Yejin Bang +23
The development of frontier models is commonly perceived to be the exclusive remit of a small number of heavily funded players, creating an information, economic and power asymmetr…
BRUM: Robust 3D Vehicle Reconstruction from 360 Sparse Images
Davide Di Nucci, Matteo Tomei, Guido Borghi +3
Accurate 3D reconstruction of vehicles is vital for applications such as vehicle inspection, predictive maintenance, and urban planning. Existing methods like Neural Radiance Field…
KRONC: Keypoint-based Robust Camera Optimization for 3D Car Reconstruction
Davide Di Nucci, Alessandro Simoni, Matteo Tomei +3
The three-dimensional representation of objects or scenes starting from a set of images has been a widely discussed topic for years and has gained additional attention after the di…
CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components
Davide Di Nucci, Alessandro Simoni, Matteo Tomei +3
Neural Radiance Fields (NeRFs) have gained widespread recognition as a highly effective technique for representing 3D reconstructions of objects and scenes derived from sets of ima…