DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation
This paper develops a new method for generating high-fidelity 3D images of thin-shell objects, like garments, by learning a continuous surface representation. Practitioners caring about 3D generation and object modeling might care about this approach because it achieves better results with fewer computational resources.