To extend the 3DMambaIPF model to handle other types of 3D data beyond point clouds, such as meshes or voxels, several modifications and adaptations can be made:
Mesh Data Handling: For mesh data, the model can incorporate mesh processing techniques to convert the mesh representation into a point cloud format. This conversion can be achieved through methods like mesh sampling or mesh voxelization, allowing the model to process mesh data as point clouds.
Voxel Data Integration: To handle voxel data, the model can be adjusted to work directly with volumetric representations. By modifying the input processing modules to accept voxel grids and adapting the denoising and rendering components to operate in a volumetric space, the model can effectively filter and reconstruct voxel-based 3D data.
Hybrid Data Fusion: Another approach is to develop a hybrid model that can handle multiple types of 3D data simultaneously. By incorporating different input pathways for point clouds, meshes, and voxels, the model can learn to denoise and filter diverse 3D data formats in a unified framework.