SOTAVerified

Single-View 3D Reconstruction

Papers

Showing 5175 of 98 papers

TitleStatusHype
2D GANs Meet Unsupervised Single-view 3D Reconstruction0
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth DataCode0
Topologically-Aware Deformation Fields for Single-View 3D ReconstructionCode1
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal PerspectiveCode1
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance ConsistencyCode1
Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction0
AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis0
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction0
MonoScene: Monocular 3D Semantic Scene CompletionCode1
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction NetworksCode1
ABO: Dataset and Benchmarks for Real-World 3D Object UnderstandingCode1
Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers, using the TransProteus CGI datasetCode0
Domain Adaptation for Real-World Single View 3D Reconstruction0
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction0
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment ReconstructionCode1
PoinTr: Diverse Point Cloud Completion with Geometry-Aware TransformersCode1
DeepMesh: Differentiable Iso-Surface Extraction0
D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images0
Self-Supervised 3D Mesh Reconstruction From Single Images0
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction0
Using Adaptive Gradient for Texture Learning in Single-View 3D Reconstruction0
Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors0
Look, Cast and Mold: Learning 3D Shape Manifold from Single-view Synthetic Data0
An Effective Loss Function for Generating 3D Models from Single 2D Image without RenderingCode1
Rethinking Content and Style: Exploring Bias for Unsupervised DisentanglementCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SDFDiff3DIoU0.67Unverified
2ZubicLio3DIoU0.65Unverified
3DIB-R3DIoU0.61Unverified
4NMR [19]3DIoU0.6Unverified
5voxel [47]3DIoU0.57Unverified
6retrieval [47]3DIoU0.48Unverified
#ModelMetricClaimedVerifiedStatus
1AtlasNet3DIoU3Unverified
2DISN3DIoU0.57Unverified
3OccNet3DIoU0.56Unverified
4IMNET3DIoU0.55Unverified
53DN3DIoU0.49Unverified
6Pxl2mesh3DIoU0.47Unverified
#ModelMetricClaimedVerifiedStatus
1NU-MCCAvg. F183.8Unverified
2MCCAvg. F156.7Unverified
3PointTrAvg. F139.7Unverified
#ModelMetricClaimedVerifiedStatus
1SyncDreamerChamfer Distance0.03Unverified
2Wonder3DChamfer Distance0.02Unverified
3Unique3DChamfer Distance0.01Unverified
#ModelMetricClaimedVerifiedStatus
1towards end-to-end neuromorphic voxel-based 3d object reconstruction without physical priorsA-mIoU0.54Unverified
2E2VA-mIoU0.35Unverified
#ModelMetricClaimedVerifiedStatus
13D Magic MirrorFID66.8Unverified
#ModelMetricClaimedVerifiedStatus
13D Magic MirrorFID63.5Unverified
#ModelMetricClaimedVerifiedStatus
13D Magic MirrorFID46.7Unverified
#ModelMetricClaimedVerifiedStatus
1XYZNetR20.94Unverified