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 676700 of 2326 papers

TitleStatusHype
Massively Parallel Multiview Stereopsis by Surface Normal DiffusionCode0
DSR-Diff: Depth Map Super-Resolution with Diffusion ModelCode0
M3D: Dual-Stream Selective State Spaces and Depth-Driven Framework for High-Fidelity Single-View 3D ReconstructionCode0
Two-stage Synthetic Supervising and Multi-view Consistency Self-supervising based Animal 3D Reconstruction by Single ImageCode0
Live Reconstruction of Large-Scale Dynamic Outdoor WorldsCode0
DreamSat: Towards a General 3D Model for Novel View Synthesis of Space ObjectsCode0
LIST: Learning Implicitly from Spatial Transformers for Single-View 3D ReconstructionCode0
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and ScenesCode0
Matchable Image Retrieval by Learning from Surface ReconstructionCode0
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array CalibrationCode0
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D ReconstructionCode0
Learning to Reconstruct Texture-less Deformable Surfaces from a Single ViewCode0
Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose ReconstructionCode0
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape FunctionsCode0
Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per PersonCode0
Domain-Adaptive Full-Face Gaze Estimation via Novel-View-Synthesis and Feature DisentanglementCode0
Domain-Adaptive Single-View 3D ReconstructionCode0
Learning Soft Estimator of Keypoint Scale and Orientation With Probabilistic Covariant LossCode0
Do-It-Yourself Single Camera 3D Pointer Input DeviceCode0
Learning Single-View 3D Reconstruction with Limited Pose SupervisionCode0
Learning Partonomic 3D Reconstruction from Image CollectionsCode0
Learning Object Manipulation Skills from Video via Approximate Differentiable PhysicsCode0
Learning single-image 3D reconstruction by generative modelling of shape, pose and shadingCode0
Learning to Generate Dense Point Clouds with Textures on Multiple CategoriesCode0
Data-Driven 3D Reconstruction of Dressed Humans From Sparse ViewsCode0
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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