4 papers
FlowObject: Flow Steering for Bridging Generative Priors and Reconstruction Fidelity
Yuchen Rao, Xuqian Ren, Yinyu Nie +4
Recovering complete 3D representations of objects from few casual image captures remains a significant challenge. Recent 3D generative models, particularly those based on Flow-Matc…
TerraSky3D: Multi-View Reconstructions of European Landmarks in 4K
Mattia D'Urso, Yuxi Hu, Christian Sormann +2
Despite the growing need for data of more and more sophisticated 3D reconstruction pipelines, we can still observe a scarcity of suitable public datasets. Existing 3D datasets are…
LEAR: Learning Edge-Aware Representations for Event-to-LiDAR Localization
Kuangyi Chen, Jun Zhang, Yuxi Hu +2
Event cameras offer high-temporal-resolution sensing that remains reliable under high-speed motion and challenging lighting, making them promising for localization from LiDAR point…
SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Data
Dominik Hirner, Friedrich Fraundorfer
Stereo estimation has made many advancements in recent years with the introduction of deep-learning. However the traditional supervised approach to deep-learning requires the creat…