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Surface Reconstruction datasets

archive 2025-07-28

9 datasets carry the task tag "Surface Reconstruction" (the task itself: Surface Reconstruction), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Surface Reconstruction datasets 1–9 of 9

OmniObject3D is a large vocabulary 3D object dataset with massive high-quality real-scanned 3D objects.
70 papers · 0 benchmarks
We introduce Stanford-ORB, a new real-world 3D Object inverse Rendering Benchmark.
16 papers · 3 benchmarks
OMMO is a new benchmark for several outdoor NeRF-based tasks, such as novel view synthesis, surface reconstruction, and multi-modal NeRF.
7 papers · 0 benchmarks
A dataset of high resolution, textured scans of articulated left feet, useful for 3D shape representation learning.
4 papers · 0 benchmarks
P2S (Points2Surf)
We introduced this dataset in Points2Surf, a method that turns point clouds into meshes.
4 papers · 0 benchmarks
ANIM (ANimals in Motion)
It comprises synthetic mesh sequences from Deformation Transfer for Triangle Meshes.
1 paper · 0 benchmarks
50K synthetic renders of the human foot, with surface normals, masks and keypoints.
1 paper · 0 benchmarks
VIRDO Dataset (VIRDO Simulated Kitchen Utensil Deformation Dataset)
From https://github.com/MMintLab/VIRDO/blob/master/data/datasetreadme.txt, 1.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.