Awesome-of-Neural-Rendering

A curated list of neural rendering resources.
https://github.com/zwzhang123/Awesome-of-Neural-Rendering

Last synced: 3 days ago
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Table of Contents
- Arxiv
  - Learning to Stylize Novel Views - | |
  - NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field - | |
  - KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
  - NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
  - NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field - | |
  - KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
  - Neural Rays for Occlusion-aware Image-based Rendering - pal/NeuRay) | `13` |
  - Fast and Explicit Neural View Synthesis - | |
  - HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
  - Volume Rendering of Neural Implicit Surfaces - | |
  - Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis - computational-imaging/neural_raytracing) | `7` |
  - FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object CategoryModelling
  - Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
  - Neural Rays for Occlusion-aware Image-based Rendering - pal/NeuRay) | `13` |
  - Fast and Explicit Neural View Synthesis - | |
  - HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields
  - Volume Rendering of Neural Implicit Surfaces - | |
  - Neural Ray-Tracing: Learning Surfaces and Reflectance for Relighting and View Synthesis - computational-imaging/neural_raytracing) | `7` |
  - FiG-NeRF: Figure-Ground Neural Radiance Fields for 3D Object CategoryModelling
  - Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
  - NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field - | |
  - Neural Rays for Occlusion-aware Image-based Rendering - pal/NeuRay) | `13` |
  - Inverting Neural Radiance Fields for Pose Estimation - | |
- 2019
  - Deferred Neural Rendering: Image Synthesis using Neural Textures
  - Geometry-Aware Neural Rendering
  - Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
  - Monocular Neural Image Based Rendering with Continuous View Control - ethz/continuous_view_synthesis) | `43` |
  - Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines
  - Deferred Neural Rendering: Image Synthesis using Neural Textures
  - Geometry-Aware Neural Rendering
  - Monocular Neural Image Based Rendering with Continuous View Control - ethz/continuous_view_synthesis) | `43` |
  - Geometry-Aware Neural Rendering
- 2021
  - Self-Calibrating Neural Radiance Fields - CVLab/SCNeRF) | `72` |
  - Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering - Oral | `Other` | [PyTorch(Author)]() | `` |
  - Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields - Oral | `Other` | [PyTorch(Author)]() | `` |
  - GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
  - PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting - 46/PhySG) | `33` |
  - IBRNet: Learning Multi-View Image-Based Rendering
  - NeX: Real-time View Synthesis with Neural Basis Expansion - Oral | `View` | [PyTorch(Author)](https://github.com/nex-mpi/nex-code/) | `320` |
  - Neural Lumigraph Rendering
  - pixelNeRF: Neural Radiance Fields from One or Few Images - nerf) | `456` |
  - StereoRadiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
  - D-NeRF: Neural Radiance Fields for Dynamic Scenes - NeRF) | `61` |
  - NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
  - AutoInt: Automatic Integration for Fast Neural Volume Rendering
  - GIRAFFE: Representing Scenes asCompositional Generative Neural Feature Fields - BestPaper | `Other` | [PyTorch(Author)](https://github.com/autonomousvision/giraffe) | `609` |
  - Self-Calibrating Neural Radiance Fields - CVLab/SCNeRF) | `72` |
  - Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering - Oral | `Other` | [PyTorch(Author)]() | `` |
  - Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields - Oral | `Other` | [PyTorch(Author)]() | `` |
  - GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
  - PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting - 46/PhySG) | `33` |
  - IBRNet: Learning Multi-View Image-Based Rendering
  - NeX: Real-time View Synthesis with Neural Basis Expansion - Oral | `View` | [PyTorch(Author)](https://github.com/nex-mpi/nex-code/) | `320` |
  - Neural Lumigraph Rendering
  - AutoInt: Automatic Integration for Fast Neural Volume Rendering - imaging/automatic-integration) | `80` |
  - D-NeRF: Neural Radiance Fields for Dynamic Scenes - NeRF) | `61` |
  - NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis
  - GIRAFFE: Representing Scenes asCompositional Generative Neural Feature Fields - BestPaper | `Other` | [PyTorch(Author)](https://github.com/autonomousvision/giraffe) | `609` |
  - NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
  - Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering - Oral | `Other` | [PyTorch(Author)]() | `` |
  - AutoInt: Automatic Integration for Fast Neural Volume Rendering
  - IBRNet: Learning Multi-View Image-Based Rendering
  - NeX: Real-time View Synthesis with Neural Basis Expansion - Oral | `View` | [PyTorch(Author)](https://github.com/nex-mpi/nex-code/) | `320` |
  - StereoRadiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
  - PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting - 46/PhySG) | `33` |
- 2020
  - GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
  - NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis - Oral | `View` | [TensorFlow(Author)](https://github.com/bmild/nerf) [PyTorch(3rd)](https://github.com/yenchenlin/nerf-pytorch) [PyTorch(3rd)](https://github.com/krrish94/nerf-pytorch) [Jax(3rd)](https://github.com/google-research/google-research/tree/master/jaxnerf) | `3.6k/1.1k/429/19.2k` |
  - GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
  - NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis - Oral | `View` | [TensorFlow(Author)](https://github.com/bmild/nerf) [PyTorch(3rd)](https://github.com/yenchenlin/nerf-pytorch) [PyTorch(3rd)](https://github.com/krrish94/nerf-pytorch) [Jax(3rd)](https://github.com/google-research/google-research/tree/master/jaxnerf) | `3.6k/1.1k/429/19.2k` |
- Previous Venues
  - Ray-casting Point-in-polyhedron Test - CESCG | `Other` | - | |
  - Ray-casting Point-in-polyhedron Test - CESCG | `Other` | - | |
Awesome Blogs
- Arxiv
Videos
- Arxiv
Datasets
- Arxiv
  - DeepVoxels - xw83SP-0t548v63mPH), [other](https://drive.google.com/file/d/1lUvJWB6oFtT8EQ_NzBrXnmi25BufxRfl/view)
  - SLF
  - NeRF
  - RealEstate10K
  - Spaces
  - LLFF
  - DeepVoxels - xw83SP-0t548v63mPH), [other](https://drive.google.com/file/d/1lUvJWB6oFtT8EQ_NzBrXnmi25BufxRfl/view)
  - SLF
  - NeRF
  - Google Scanned Objects - rmZjbapLAtdrKwg3AV-NJe)
  - RealEstate10K
  - Spaces
  - LLFF
  - NLR
  - pixelNeRF
Awesome Surveys
- Arxiv

Programming Languages

Python 6 C++ 2 Jupyter Notebook 2

Categories

Table of Contents 71 Datasets 15 Awesome Surveys 11 Videos 10 Awesome Blogs 9

Sub Categories

Arxiv 68 2021 33 2019 9 2020 4 Previous Venues 2

Keywords

view-synthesis 6 deep-learning 4 neural-radiance-fields 4 nerf 4 neural-rendering 4 computer-vision 4 computer-graphics 4 rendering 2 light-field 2 stereo-magnification 2 multiplane-images 2 6dof-video 2 3d-reconstruction 2 neural-representations 2 awesome-list 2