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awesome-implicit-representations
A curated list of resources on implicit neural representations.
https://github.com/vsitzmann/awesome-implicit-representations
Last synced: 4 days ago
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Hiring graduate students!
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Generalization & Meta-Learning with Neural Implicit Representations
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For dynamic scenes
- MetaSDF: MetaSDF: Meta-Learning Signed Distance Functions - based meta-learning for implicit neural representations
- Learned Initializations for Optimizing Coordinate-Based Neural Representations - based meta-learning for NeRF.
- Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations - learning via hypernetworks.
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Why are they interesting?
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Implicit Neural Representations of Geometry
- DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
- Occupancy Networks: Learning 3D Reconstruction in Function Space
- IM-Net: Learning Implicit Fields for Generative Shape Modeling
- Neural Unsigned Distance Fields for Implicit Function Learning
- Sal: Sign agnostic learning of shapes from raw data - truth signed distance values)
- Implicit Geometric Regularization for Learning Shapes - truth signed distance values)
- Neural Unsigned Distance Fields for Implicit Function Learning
- Local Implicit Grid Representations for 3D Scenes
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Hybrid implicit / explicit (condition implicit on local features)
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For dynamic scenes
- PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
- Implicit Functions in Feature Space for 3D ShapeReconstruction and Completion
- Convolutional Occupancy Networks
- Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
- Local Deep Implicit Functions for 3D Shape
- Neural Sparse Voxel Fields
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Implicit representations of Geometry and Appearance
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From 3D supervision
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For dynamic scenes
- Occupancy flow: 4d reconstruction by learning particle dynamics
- D-NeRF: Neural Radiance Fields for Dynamic Scenes
- Deformable Neural Radiance Fields
- Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes
- Space-time Neural Irradiance Fields for Free-Viewpoint Video
- Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Deforming Scene from Monocular Video
- Neural Radiance Flow for 4D View Synthesis and Video Processing
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From 2D supervision only (“inverse graphics”)
- Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
- Multiview neural surface reconstruction by disentangling geometry and appearance
- SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
- Pixel-NERF
- Neural Radiance Fields (NeRF) - direction conditioning for high-quality reconstruction of
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Symmetries in Implicit Neural Representations
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For dynamic scenes
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Robotics Applications
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Fitting high-frequency detail with positional encoding & periodic nonlinearities
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Implicit Neural Representations of Images
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Composing implicit neural representations
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Implicit Representations for Partial Differential Equations & Boundary Value Problems
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For dynamic scenes
- AutoInt: Automatic Integration for Fast Neural Volume Rendering
- MeshfreeFlowNet: Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework - resolution for spatio-temporal flow functions using local implicit representaitons, with auxiliary PDE losses.
- Implicit Neural Representations with Periodic Activation Functions
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Generative Adverserial Networks with Implicit Representations
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For 3D
- Unconstrained Scene Generation with Locally Conditioned Radiance Fields - explicit representation,
- Alias-Free Generative Adversarial Networks (StyleGAN3) - conditioned MLP
- Generative Radiance Fields for 3D-Aware Image Synthesis
- pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis
- Unconstrained Scene Generation with Locally Conditioned Radiance Fields - explicit representation,
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For 2D
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Image-to-image translation
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Articulated representations
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For 2D
- NASA: Neural Articulated Shape Approximation
- Vincent Sitzmann: Implicit Neural Scene Representations (Scene Representation Networks, MetaSDF, Semantic Segmentation with Implicit Neural Representations, SIREN)
- Andreas Geiger: Neural Implicit Representations for 3D Vision (Occupancy Networks, Texture Fields, Occupancy Flow, Differentiable Volumetric Rendering, GRAF)
- Gerard Pons-Moll: Shape Representations: Parametric Meshes vs Implicit Functions
- Yaron Lipman: Implicit Neural Representations
- Vincent Sitzmann: Implicit Neural Scene Representations (Scene Representation Networks, MetaSDF, Semantic Segmentation with Implicit Neural Representations, SIREN)
- Yaron Lipman: Implicit Neural Representations
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Disclaimer
Programming Languages
Categories
Implicit representations of Geometry and Appearance
14
Generative Adverserial Networks with Implicit Representations
9
Implicit Neural Representations of Geometry
8
Articulated representations
7
Hybrid implicit / explicit (condition implicit on local features)
6
Composing implicit neural representations
4
Why are they interesting?
4
Robotics Applications
3
Implicit Representations for Partial Differential Equations & Boundary Value Problems
3
Generalization & Meta-Learning with Neural Implicit Representations
3
Implicit Neural Representations of Images
2
Fitting high-frequency detail with positional encoding & periodic nonlinearities
1
Hiring graduate students!
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Image-to-image translation
1
Disclaimer
1
Symmetries in Implicit Neural Representations
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Sub Categories
Keywords
3d-reconstruction
3
pytorch
2
3d-deep-learning
1
cvpr-2020
1
cvpr2020
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differentiable-rendering
1
dvr
1
implicit-representions
1
mesh-generation
1
novel-view-synthesis
1
3d-printing
1
arvr
1
computer-graphics
1
fashion
1
geometry-processing
1
human
1
iccv2019
1
pifu
1
computer-vision
1
deep-learning
1
implicit-neural-representation
1
machine-learning
1
super-resolution
1