A large-scale indoor point-cloud completion dataset derived from Hypersim. Each record simulates a partially observed room: one real camera view provides context, while a synthetic nearby “missing camera” frustum hides part of the scene. Models are trained to infer the masked region from visible points.
Why this dataset exists. Real 3D capture — whether from depth sensors, multi-view reconstruction, or neural fields — routinely produces… See the full description on the dataset page:
https://huggingface.co/datasets/izhleba/hypersim-frustum-completion.
