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3d meshes datasets

archive 2025-07-28

64 datasets carry the modality tag "3d meshes", ordered by the archive's paper count. Page 1 of 2: 48 shown of 64. 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 39 modality tags shown of 39, by dataset count; the full filter by modality, task and language is on /datasets

3d meshes datasets 1–48 of 64

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
CoMA contains 17,794 meshes of the human face in various expressions Source: DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects Image Source: https://coma.is.tue.mpg.de/
81 papers · 1 benchmark
Scan2CAD is an alignment dataset based on 1506 ScanNet scans with 97607 annotated keypoints pairs between 14225 (3049 unique) CAD models from ShapeNet and their counterpart objects in the scans.
72 papers · 1 benchmark
OmniObject3D is a large vocabulary 3D object dataset with massive high-quality real-scanned 3D objects.
70 papers · 0 benchmarks
BEAT (Body-Expression-Audio-Text)
BEAT has i) 76 hours, high-quality, multi-modal data captured from 30 speakers talking with eight different emotions and in four different languages, ii) 32 millions frame-level emotion and semantic relevance annotations.
56 papers · 1 benchmark
Gait3D is a large-scale 3D representation-based gait recognition dataset.
47 papers · 2 benchmarks
The ScanNet200 benchmark studies 200-class 3D semantic segmentation - an order of magnitude more class categories than previous 3D scene understanding benchmarks.
45 papers · 3 benchmarks
Dataset containing RGB-D data of 4 large scenes, comprising a total of 12 rooms, for the purpose of RGB and RGB-D camera relocalization.
41 papers · 0 benchmarks
The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods under variations in viewing angle, lighting, and common occlusions.
27 papers · 1 benchmark
REALY (Region-aware benchmark based on the LYHM)
The REALY benchmark aims to introduce a region-aware evaluation pipeline to measure the fine-grained normalized mean square error (NMSE) of 3D face reconstruction methods from under-controlled image sets.
24 papers · 2 benchmarks
4D-DRESS (A 4D Dataset of Real-world Human Clothing with Semantic Annotations)
4D-DRESS is the first real-world 4D dataset of human clothing, capturing 64 human outfits in more than 520 motion sequences.
23 papers · 4 benchmarks
ARCTIC (Articulated Objects in Free-form Hand Interaction)
ARCTIC is a dataset of free-form interactions of hands and articulated objects.
23 papers · 0 benchmarks
BEAT2 (BEAT-SMPLX-FLAME)
We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, and global movements.
23 papers · 2 benchmarks
SHREC'19 (SHREC'19 track Matching Humans with Different Connectivity)
Shape matching plays an important role in geometry processing and shape analysis.
20 papers · 1 benchmark
Hi4D contains 4D textured scans of 20 subject pairs, 100 sequences, and a total of more than 11K frames.
19 papers · 0 benchmarks
SSP-3D (Sports Shape and Pose 3D)
SSP-3D is an evaluation dataset consisting of 311 images of sportspersons in tight-fitted clothes, with a variety of body shapes and poses.
19 papers · 1 benchmark
3D AffordanceNet is a dataset of 23k shapes for visual affordance.
15 papers · 1 benchmark
Breaking Bad is a large-scale dataset of fractured objects.
15 papers · 0 benchmarks
The Habitat-Matterport 3D Semantics Dataset (HM3DSem) is the largest-ever dataset of 3D real-world and indoor spaces with densely annotated semantics that is available to the academic community.
13 papers · 0 benchmarks
BuildingNet is a large-scale dataset of 3D building models whose exteriors are consistently labeled.
11 papers · 0 benchmarks
CAPE (Clothed Auto Person Encoding)
The CAPE dataset is a 3D dynamic dataset of clothed humans, featuring: - 3D mesh registrations of accurate scans of clothed people in motion, captured at 60 FPS; - Consistent SMPL mesh topology, all frames in correspondence; - Precise,…
10 papers · 1 benchmark
Building3D is an urban-scale dataset consisting of more than 160 thousands buildings along with corresponding point clouds, mesh and wireframe models, covering 16 cities in Estonia about 998 Km2.
8 papers · 0 benchmarks
HANDAL (HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions)
We present the HANDAL dataset for category-level object pose estimation and affordance prediction.
8 papers · 0 benchmarks
The MMBody dataset provides human body data with motion capture, GT mesh, Kinect RGBD, and millimeter wave sensor data.
7 papers · 0 benchmarks
The ObjectFolder Real dataset contains multisensory data collected from 100 real-world household objects.
6 papers · 0 benchmarks
BIWI 3D corpus comprises a total of 1109 sentences uttered by 14 native English speakers (6 males and 8 females).
5 papers · 1 benchmark
AMA (Articulated Mesh Animation)
Articulated Mesh Animation (AMA) is a real-world dataset containing 10 mesh sequences depicting 3 different humans performing various actions
4 papers · 0 benchmarks
DrivAerNet (A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction)
DrivAerNet is a large-scale, high-fidelity CFD dataset of 3D industry-standard car shapes designed for data-driven aerodynamic design.
4 papers · 0 benchmarks
P2S (Points2Surf)
We introduced this dataset in Points2Surf, a method that turns point clouds into meshes.
4 papers · 0 benchmarks
PsyMo (PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait)
Psychological trait estimation from external factors such as movement and appearance is a challenging and long-standing problem in psychology, and is principally based on the psychological theory of embodiment.
4 papers · 0 benchmarks
DAD-3DHeads (DAD-3DHeads dataset)
DAD-3DHeads dataset consists of 44,898 images collected from various sources (37,840 in the training set, 4,312 in the validation set, and 2,746 in the test set).
3 papers · 0 benchmarks
GarmentCodeData (GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns)
GarmentCodeData contains 115,000 data points that cover a variety of designs in many common garment categories: tops, shirts, dresses, jumpsuits, skirts, pants, etc., fitted to a variety of body shapes sampled from a custom statistical…
3 papers · 0 benchmarks
HOPE-Image (Household Objects for Pose Estimation)
The NVIDIA HOPE datasets consist of RGBD images and video sequences with labeled 6-DoF poses for 28 toy grocery objects.
3 papers · 0 benchmarks
HOPE-Video (Household Objects for Pose Estimation)
The HOPE-Video dataset contains 10 video sequences (2038 frames) with 5-20 objects on a tabletop scene captured by a robot arm-mounted RealSense D415 RGBD camera.
3 papers · 0 benchmarks
A real-world dataset, with hyper-accurate digital counterpart & comprehensive ground-truth annotation.
2 papers · 1 benchmark
Click to add a brief description of the dataset (Markdown and LaTeX enabled).
2 papers · 1 benchmark
Teeth3DS+ (An Extended Benchmark for Intraoral 3D Scans Analysis)
Intraoral 3D scans analysis is a fundamental aspect of Computer-Aided Dentistry (CAD) systems, playing a crucial role in various dental applications, including teeth segmentation, detection, labeling, and dental landmark identification.
2 papers · 0 benchmarks
ANIM (ANimals in Motion)
It comprises synthetic mesh sequences from Deformation Transfer for Triangle Meshes.
1 paper · 0 benchmarks
The AneuX morphology database includes data from 3 different data sources: AneuX, @neurIST and Aneurisk.
1 paper · 0 benchmarks
📚 BlendNet The dataset contains $12k$ samples.
1 paper · 0 benchmarks
📚 CADBench CADBench is a comprehensive benchmark to evaluate the ability of LLMs to generate CAD scripts.
1 paper · 0 benchmarks
The field of biomechanics is at a turning point, with marker-based motion capture set to be replaced by portable and inexpensive hardware, rapidly improving markerless tracking algorithms, and open datasets that will turn these new…
1 paper · 0 benchmarks
DermSynth3D (3DBodyTex.DermSynth3D)
A dataset of 100K synthetic images of skin lesions, ground-truth (GT) segmentations of lesions and healthy skin, GT segmentations of seven body parts (head, torso, hips, legs, feet, arms and hands), and GT binary masks of non-skin regions…
1 paper · 0 benchmarks
FER2013 Blendshapes (FER2013 blendshapes dataset example (Partial))
Tables of the blendshapes from a group of the images of the FER2013 dataset, generated using MediaPipe library, based on the ARKit face blendshapes.
1 paper · 0 benchmarks
Copyright (C) 2021 Ante Qu .
1 paper · 0 benchmarks
GraspClutter6D is a large-scale real-world dataset for robust object perception and robotic grasping in cluttered environments.
1 paper · 0 benchmarks
KITTI-6DoF (KITTI-Six Degrees Of Freedom)
KITTI-6DoF is a dataset that contains annotations for the 6DoF estimation task for 5 object categories on 7,481 frames.
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.