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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…
cs.CV2024
DGD: Dynamic 3D Gaussians Distillation
Isaac Labe, Noam Issachar, Itai Lang +1
We tackle the task of learning dynamic 3D semantic radiance fields given a single monocular video as input. Our learned semantic radiance field captures per-point semantics as well…