Images rarely show an object’s full 3D geometry.
At #ECCV2026, our research team introduced Axolotl3D, a multimodal and occlusion-aware 3D generation model. It combines images, camera data and partial geometry to reconstruct missing regions while preserving observed ones, achieving state-of-the-art results across single- and multi-view settings.
Project page:
Axolotl3D combines images, camera data, and partial geometry to fill in unseen parts of an object, a capability relevant to anyone building 3D asset or robotics-perception pipelines.
