3 papers
cs.CV2026
FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow
Sadra Safadoust, Fabio Tosi, Matteo Poggi +1
We present FlowIt, a novel architecture for optical flow estimation that combines global matching with confidence and occlusion-guided refinement. At its core, FlowIt leverages a h…
cs.CV2025
WarpRF: Multi-View Consistency for Training-Free Uncertainty Quantification and Applications in Radiance Fields
Sadra Safadoust, Fabio Tosi, Fatma Güney +1
We introduce WarpRF, a training-free general-purpose framework for quantifying the uncertainty of radiance fields. Built upon the assumption that photometric and geometric consiste…
cs.CV2024
Self-Evolving Depth-Supervised 3D Gaussian Splatting from Rendered Stereo Pairs
Sadra Safadoust, Fabio Tosi, Fatma Güney +1
3D Gaussian Splatting (GS) significantly struggles to accurately represent the underlying 3D scene geometry, resulting in inaccuracies and floating artifacts when rendering depth m…