2 papers
cs.CV2026
Splat and Distill: Augmenting Teachers with Feed-Forward 3D Reconstruction For 3D-Aware Distillation
David Shavin, Sagie Benaim
Vision Foundation Models (VFMs) have achieved remarkable success when applied to various downstream 2D tasks. Despite their effectiveness, they often exhibit a critical lack of 3D…
cs.CV2025
Structurally Disentangled Feature Fields Distillation for 3D Understanding and Editing
Yoel Levy, David Shavin, Itai Lang +1
Recent work has demonstrated the ability to leverage or distill pre-trained 2D features obtained using large pre-trained 2D models into 3D features, enabling impressive 3D editing…