awesome-3d-reconstruction-papers
github.com/bluestyle97/awesome-3d-reconstruction-papers ↗A collection of 3D reconstruction papers in the deep learning era.
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Object-levelScene-levelNeural SurfaceSurvey
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Object-level
- 2D GANs Meet Unsupervised Single-View 3D ReconstructionUnsupervised
Implicit
- 3D-C2FT: Coarse-to-fine Transformer for Multi-view 3D ReconstructionMulti-view
Voxel
- 3DIAS: 3D Shape Reconstruction With Implicit Algebraic SurfacesSingle-view
Primitive
- 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object ReconstructionMulti-view
Voxel
- 3D Reconstruction of Novel Object Shapes from Single ImagesSingle-view
Implicit
- 3D Shape Induction from 2D Views of Multiple ObjectsMulti-view
Voxel
Scene-level
- 3D-Former: Monocular Scene Reconstruction with SDF 3D TransformersSingle-view
Implicit
- 3D-RCNN: Instance-level 3D Object Reconstruction via Render-and-CompareSingle-view
Priors
- 3D-RelNet: Joint Object and Relational Network for 3D PredictionSingle-view
Voxel
- 3D Scene Reconstruction from a Single ViewportSingle-view
Voxel
- 3D Scene Reconstruction With Multi-Layer Depth and Epipolar TransformersSingle-view
Mesh
- Associative3D: Volumetric Reconstruction from Sparse ViewsMulti-view
Voxel
Neural Surface
- Adaptive Surface Reconstruction with Multiscale Convolutional KernelsPoint-cloud
Mesh
- AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit RepresentationsPoint-cloud
Implicit
- ALTO: Alternating Latent Topologies for Implicit 3D ReconstructionPoint-cloud
Implicit
- BNV-Fusion: Dense 3D Reconstruction Using Bi-Level Neural Volume FusionRGB-D
Implicit
- CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-scale Indoor SceneRGB-D
Implicit
- CircNet: Meshing 3D Point Clouds with Circumcenter DetectionPoint-cloud
Mesh
Survey
- Advances in Neural Rendering
EUROGRAPHICS 2022
- A Review of Deep Learning-Powered Mesh Reconstruction Methods
arXiv 2023
- Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era
TPAMI 2019
- NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review
arXiv 2022
- Neural Fields in Visual Computing and Beyond
arXiv 2021
Showing a sample of 268 resources. View the full list on GitHub →