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Single-View 3D Reconstruction datasets
archive 2025-07-28
15 datasets carry the task tag "Single-View 3D Reconstruction" (the task itself: Single-View 3D Reconstruction), ordered by the archive's paper count. Page 1 of 1: 15 shown of 15. 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
Single-View 3D Reconstruction datasets 1–15 of 15
The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task.
2,235 papers · 47 benchmarks
ShapeNet is a large scale repository for 3D CAD models developed by researchers from Stanford University, Princeton University and the Toyota Technological Institute at Chicago, USA.
1,947 papers · 13 benchmarks
ShapeNetCore is a subset of the full ShapeNet dataset with single clean 3D models and manually verified category and alignment annotations.
180 papers · 1 benchmark
For many fundamental scene understanding tasks, it is difficult or impossible to obtain per-pixel ground truth labels from real images.
108 papers · 4 benchmarks
The ABC Dataset is a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications.
104 papers · 0 benchmarks
GSO (Google Scanned Objects)
Scanned Objects by Google Research is a dataset of common household objects that have been 3D scanned for use in robotic simulation and synthetic perception research.
102 papers · 1 benchmark
ABO (Amazon Berkeley Objects)
ABO is a large-scale dataset designed for material prediction and multi-view retrieval experiments.
82 papers · 0 benchmarks
Common Objects in 3D is a large-scale dataset with real multi-view images of object categories annotated with camera poses and ground truth 3D point clouds.
20 papers · 1 benchmark
SceneNet is a dataset of labelled synthetic indoor scenes.
17 papers · 0 benchmarks
ShapenetRenderer is an extension of the ShapeNet Core dataset which has more variation in camera angles.
4 papers · 0 benchmarks
Real-world dataset of ~400 images of cuboid-shaped parcels with full 2D and 3D annotations in the COCO format.
3 papers · 0 benchmarks
Estimating camera motion in deformable scenes poses a complex and open research challenge.
2 papers · 1 benchmark
Synthetic dataset of over 13,000 images of damaged and intact parcels with full 2D and 3D annotations in the COCO format.
2 papers · 0 benchmarks
Event cameras are sensors that are inspired by biological systems and specialize in capturing changes in brightness.
2 papers · 1 benchmark
The dataset contains procedurally generated images of transparent vessels containing liquid and objects .
1 paper · 1 benchmark
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.