2 papers
cs.CV2026
Evaluating Foundation Models' 3D Understanding Through Multi-View Correspondence Analysis
Valentina Lilova, Toyesh Chakravorty, Julian I. Bibo +5
Benchmarking 3D spatial understanding of foundation models is essential for real-world applications such as robotics and autonomous driving. Existing evaluations often rely on down…
cs.CV2026
C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
Kuan Wei Huang, Brandon Li, Bharath Hariharan +1
Geometric models like DUSt3R have shown great advances in understanding the geometry of a scene from pairs of photos. However, they fail when the inputs are from vastly different v…