SOTAVerified

3D Reconstruction

3D Reconstruction is the task of creating a 3D model or representation of an object or scene from 2D images or other data sources. The goal of 3D reconstruction is to create a virtual representation of an object or scene that can be used for a variety of purposes, such as visualization, animation, simulation, and analysis. It can be used in fields such as computer vision, robotics, and virtual reality.

Image: Gwak et al

Papers

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Showing 101–150 of 2326 papers

TitleStatusHype
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy VideoCode2
3D Reconstruction of Spherical Images based on Incremental Structure from MotionCode2
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface ReconstructionCode2
Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene ReconstructionCode2
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal PriorsCode2
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian SplattingCode2
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category ReconstructionCode2
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian SplattingsCode2
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy ProjectionsCode2
Memorize What Matters: Emergent Scene Decomposition from MultitraverseCode2
MicroDreamer: Efficient 3D Generation in 20 Seconds by Score-based Iterative ReconstructionCode2
EgoLifter: Open-world 3D Segmentation for Egocentric PerceptionCode2
PC-NeRF: Parent-Child Neural Radiance Fields Using Sparse LiDAR Frames in Autonomous Driving EnvironmentsCode2
Multiview Compressive Coding for 3D ReconstructionCode2
MAC-Ego3D: Multi-Agent Gaussian Consensus for Real-Time Collaborative Ego-Motion and Photorealistic 3D ReconstructionCode2
Boost 3D Reconstruction using Diffusion-based Monocular Camera CalibrationCode2
LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous ExplorationCode2
PLVS: A SLAM System with Points, Lines, Volumetric Mapping, and 3D Incremental SegmentationCode2
MegaLoc: One Retrieval to Place Them AllCode2
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training ParadigmCode2
Multi-View Mesh Reconstruction with Neural Deferred ShadingCode2
Local Feature Matching Using Deep Learning: A SurveyCode2
LRM-Zero: Training Large Reconstruction Models with Synthesized DataCode2
Learning Continuous Image Representation with Local Implicit Image FunctionCode2
Learning Implicit Surface Light FieldsCode2
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single ImageCode2
DiffCalib: Reformulating Monocular Camera Calibration as Diffusion-Based Dense Incident Map GenerationCode2
PartGS:Learning Part-aware 3D Representations by Fusing 2D Gaussians and SuperquadricsCode2
LumiGauss: Relightable Gaussian Splatting in the WildCode2
EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian SplattingCode2
A Survey on 3D Gaussian SplattingCode2
InteractVLM: 3D Interaction Reasoning from 2D Foundational ModelsCode2
Atlas: End-to-End 3D Scene Reconstruction from Posed ImagesCode2
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement TransformerCode2
Kimera: from SLAM to Spatial Perception with 3D Dynamic Scene GraphsCode2
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object ManipulationCode2
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
iHuman: Instant Animatable Digital Humans From Monocular VideosCode2
Delicate Textured Mesh Recovery from NeRF via Adaptive Surface RefinementCode2
3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and HumansCode2
GO-SLAM: Global Optimization for Consistent 3D Instant ReconstructionCode2
6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene ReconstructionCode2
Animal Avatars: Reconstructing Animatable 3D Animals from Casual VideosCode2
GeoMVSNet: Learning Multi-View Stereo With Geometry PerceptionCode2
GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceCode2
Gen3DSR: Generalizable 3D Scene Reconstruction via Divide and Conquer from a Single ViewCode2
GauSS-MI: Gaussian Splatting Shannon Mutual Information for Active 3D ReconstructionCode2
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from VideoCode2
GenNBV: Generalizable Next-Best-View Policy for Active 3D ReconstructionCode2
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstructionCode2
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All datasetsDTUShapeNetData3D−R2N2Scan2CAD3DPeopleAria Digital Twin DatasetAria Synthetic EnvironmentsScanNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63—Unverified
2GipumaOverall0.58—Unverified
3COLMAPOverall0.53—Unverified
4MVSNetOverall0.46—Unverified
5Vis-MVSNetOverall0.37—Unverified
6AA-RMVSNetOverall0.36—Unverified
7Cas-MVSNetOverall0.36—Unverified
8EPP-MVSNetOverall0.36—Unverified
9PatchmatchNetOverall0.35—Unverified
10CVP-MVSNetOverall0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8—Unverified
2POCOIoU92.6—Unverified
3FS-SDFIoU91.2—Unverified
4DP-ConvONetIoU89.5—Unverified
5ConvONetIoU88.4—Unverified
6ONetIoU76.1—Unverified
7EVolTIoU73.8—Unverified
8ZubicLioIoU65.43—Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64—Unverified
2PSGN3DIoU0.64—Unverified
3OGN3DIoU0.6—Unverified
43D-R2N23DIoU0.56—Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68—Unverified
23DMatchAverage Accuracy10.29—Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2—Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4—Unverified