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: a Unified Framework for Faithful 3D Shape Completion Axolotl3D: a Unified Framework for Faithful 3D Shape Completion