Axolotl3D unifies 3D shape completion from partial observations

Axolotl3D is a unified framework that completes 3D shapes from partial multi-modal inputs—images, visibility masks, and point clouds—handling multi-view, occlusion, local editing, and object extraction from Gaussian splat scenes. The model leverages large-scale priors and diffusion architectures for faithful geometry.