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awesome-implicit-representations
A curated list of resources on implicit neural representations.
https://github.com/vsitzmann/awesome-implicit-representations
- here
- Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
- MetaSDF: MetaSDF: Meta-Learning Signed Distance Functions
- Implicit Neural Representations with Periodic Activation Functions
- Inferring Semantic Information with 3D Neural Scene Representations
- Implicit Neural Representations with Periodic Activation Functions
- Neural Radiance Fields (NeRF)
- MetaSDF & MetaSiren
- Neural Descriptor Fields
- 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
- Sal: Sign agnostic learning of shapes from raw data - truth signed distance values)
- Implicit Geometric Regularization for Learning Shapes
- Local Implicit Grid Representations for 3D Scenes
- Implicit Neural Representations with Periodic Activation Functions
- Neural Unsigned Distance Fields for Implicit Function Learning
- Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
- Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervision
- Neural Radiance Fields (NeRF) - direction conditioning for high-quality reconstruction of
- awesome-NeRF - List of implicit representations specifically on neural radiance fields (NeRF)
- SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images - image supervision only.
- Pixel-NERF
- Multiview neural surface reconstruction by disentangling geometry and appearance
- Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
- Texture Fields: Learning Texture Representations in Function Space
- Occupancy flow: 4d reconstruction by learning particle dynamics
- D-NeRF: Neural Radiance Fields for Dynamic Scenes
- Deformable Neural Radiance Fields
- Neural Radiance Flow for 4D View Synthesis and Video Processing
- 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
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks
- Implicit Functions in Feature Space for 3D ShapeReconstruction and Completion
- Local Implicit Grid Representations for 3D Scenes
- Convolutional Occupancy Networks
- Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction
- Neural Sparse Voxel Fields
- Pixel-NERF
- Local Deep Implicit Functions for 3D Shape
- PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
- Inferring Semantic Information with 3D Neural Scene Representations
- Neural Descriptor Fields: SE(3)-Equvariant Object Representations for Manipulation
- 3D Neural Scene Representations for Visuomotor Control
- Full-Body Visual Self-Modeling of Robot Morphologies
- Neural Descriptor Fields: SE(3)-Equvariant Object Representations for Manipulation
- Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
- Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations - learning via hypernetworks.
- MetaSDF: MetaSDF: Meta-Learning Signed Distance Functions - based meta-learning for implicit neural representations
- SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images - image supervision only.
- Learned Initializations for Optimizing Coordinate-Based Neural Representations - based meta-learning for NeRF.
- Neural Radiance Fields (NeRF)
- Implicit Neural Representations with Periodic Activation Functions
- Fourier features let networks learn high frequency functions in low dimensional domains
- Compositional Pattern-Producing Networks: Compositional pattern producing networks: A novel abstraction of development
- Implicit Neural Representations with Periodic Activation Functions
- X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation
- Learning Continuous Image Representation with Local Implicit Image Function
- Alias-Free Generative Adversarial Networks (StyleGAN3) - conditioned MLP
- GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
- Object-centric Neural Rendering
- Unsupervised Discovery of Object Radiance Fields
- Implicit Geometric Regularization for Learning Shapes
- Implicit Neural Representations with Periodic Activation Functions
- 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.
- 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,
- Alias-Free Generative Adversarial Networks (StyleGAN3) - conditioned MLP
- Adversarial Generation of Continuous Images
- Learning Continuous Image Representation with Local Implicit Image Function
- Image Generators with Conditionally-Independent Pixel Synthesis
- Alias-Free GAN
- Spatially-Adaptive Pixelwise Networks for Fast Image Translation
- 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
- awesome-NeRF - List of implicit representations specifically on neural radiance fields (NeRF)
Programming Languages
Keywords
3d-reconstruction
3
pytorch
2
nerf
1
computer-vision
1
deep-learning
1
implicit-neural-representation
1
machine-learning
1
super-resolution
1
3d-deep-learning
1
cvpr-2020
1
cvpr2020
1
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