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

Showing 901925 of 2326 papers

TitleStatusHype
REF^2-NeRF: Reflection and Refraction aware Neural Radiance FieldCode0
Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering0
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models0
Gradient-based Local Next-best-view Planning for Improved Perception of Targeted Plant NodesCode1
Rethinking Directional Integration in Neural Radiance Fields0
Weakly-Supervised 3D Reconstruction of Clothed Humans via Normal Maps0
Obj-NeRF: Extract Object NeRFs from Multi-view Images0
Multi-task Planar Reconstruction with Feature Warping GuidanceCode0
RSB-Pose: Robust Short-Baseline Binocular 3D Human Pose Estimation with Occlusion Handling0
GigaPose: Fast and Robust Novel Object Pose Estimation via One CorrespondenceCode2
Two-stage Synthetic Supervising and Multi-view Consistency Self-supervising based Animal 3D Reconstruction by Single ImageCode0
Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing0
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric ModelCode0
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate ModelsCode1
Mixing-Denoising Generalizable Occupancy Networks0
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction0
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise0
LOSTU: Fast, Scalable, and Uncertainty-Aware Triangulation0
Structure-Aware Sparse-View X-ray 3D ReconstructionCode5
Invariant-based Mapping of Space During General Motion of an Observer0
EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction0
DSR-Diff: Depth Map Super-Resolution with Diffusion ModelCode0
DynamicSurf: Dynamic Neural RGB-D Surface Reconstruction with an Optimizable Feature Grid0
L_0-Sampler: An L_0 Model Guided Volume Sampling for NeRF0
3DFusion, A real-time 3D object reconstruction pipeline based on streamed instance segmented data0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
13D-R2N2Overall0.63Unverified
2GipumaOverall0.58Unverified
3COLMAPOverall0.53Unverified
4MVSNetOverall0.46Unverified
5Vis-MVSNetOverall0.37Unverified
6AA-RMVSNetOverall0.36Unverified
7Cas-MVSNetOverall0.36Unverified
8EPP-MVSNetOverall0.36Unverified
9PatchmatchNetOverall0.35Unverified
10CVP-MVSNetOverall0.35Unverified
#ModelMetricClaimedVerifiedStatus
1MD-GONIoU92.8Unverified
2POCOIoU92.6Unverified
3FS-SDFIoU91.2Unverified
4DP-ConvONetIoU89.5Unverified
5ConvONetIoU88.4Unverified
6ONetIoU76.1Unverified
7EVolTIoU73.8Unverified
8ZubicLioIoU65.43Unverified
#ModelMetricClaimedVerifiedStatus
1AttSets3DIoU0.64Unverified
2PSGN3DIoU0.64Unverified
3OGN3DIoU0.6Unverified
43D-R2N23DIoU0.56Unverified
#ModelMetricClaimedVerifiedStatus
1Scan2CADAverage Accuracy31.68Unverified
23DMatchAverage Accuracy10.29Unverified
#ModelMetricClaimedVerifiedStatus
1SVCPChamfer10Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy18.2Unverified
#ModelMetricClaimedVerifiedStatus
1EVLAccuracy5.7Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)3DIoU89.4Unverified