Awsome Deep Geometry Learning

Organizes papers by representation type like Image-based, Voxel-based, and Point-based, enabling efficient navigation of niche research areas, as shown in the README's clear section headings.

Provides direct links to papers, code repositories, datasets, and benchmarks, saving researchers time by centralizing access to primary sources, evidenced by the numerous hyperlinks throughout the list.

Includes seminal works from 2012 onward and survey papers up to 2021, offering a broad perspective on the evolution of deep geometry learning methods.

Lists common metrics like Chamfer Distance and Earth Mover's Distance with code links, facilitating reproducible research and benchmark comparisons, as noted in the 'Metrics' section.