Meet DiffComplete: An Interesting AI Method that can Complete 3D Objects from Incomplete Shapes
Shape completion on 3D range scans is a challenging task that involves inferring complete 3D shapes from incomplete or partial input data. Previous methods in this domain have focused on deterministic or probabilistic approaches, each with limitations. However, researchers from CUHK, Huawei Noah’s Ark Lab, MBZUAI, and TUM have recently introduced a groundbreaking diffusion-based approach…