Probabilistic Directed Distance Fields for Ray-Based Shape Representations

arXiv:2404.09081v1 Announce Type: cross
Abstract: In modern computer vision, the optimal representation of 3D shape continues to be task-dependent. One fundamental operation applied to such representations is differentiable rendering, as it enables inverse graphics approaches in learning frameworks. Standard explicit shape representations (voxels, point clouds, or meshes) are often easily rendered, but can suffer from limited geometric fidelity, among other issues. On the other hand, implicit representations (occupancy, distance, or radiance fields) preserve greater fidelity, but suffer from complex or …

abstract arxiv computer computer vision cs.cv cs.lg differentiable fields frameworks graphics meshes modern ray rendering representation standard type vision