NeRF-Survey: Collection of Neural Radiance Field (NeRF) papers

The papers are organized in terms of category, then in terms of the date of ArXiv/preprint first draft. The official publication dates can be found in the bibtex files.

If you find this survey/list useful in writing your manuscript(s), please consider citing our paper.

@article{gao2022nerf,
title={Nerf: Neural radiance field in 3d vision, a comprehensive review},
author={Gao, Kyle and Gao, Yina and He, Hongjie and Lu, Dening and Xu, Linlin and Li, Jonathan},
journal={arXiv preprint arXiv:2210.00379},
year={2022}
}

To submit a pr for additional entries: 1) create a bibtex file in NeRF-Survey/Citations/ 2) Insert your entry, ordered by frist draft date, in the README.ME with:

paper title, AUTHORS, (First Draft Date) | [pdf](link to pdf) | [bibtex](link to NeRF-Survey/Citations/<MyEntry>) | [github](link to code repo)

Survey papers:

Neural Volume Rendering: NeRF And Beyond, Dellaert and Yen-Chen, (Dec 17 2020) | pdf | bibtex | github

Advances in Neural Rendering, Tewari et al., (Nov 10 2021) | pdf | bibtex

NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review, Gao et al., (Oct 1 2022) | pdf | bibtex

Journal/Conference papers:

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis, Mildenhall et al., (May 19 2020) | pdf | bibtex | github

Fundamentals

Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields, Barron et al., (May 24 2021) | pdf | bibtex | github

Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields, Verbin et al., (Dec 7 2021) | pdf | bibtex | github

NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images | Mildenhal et al.,(Nov 26 2021) | pdf | bibtex | github

Unbound Scene

NeRF++: Analyzing and Improving Neural Radiance Fields, Zhang et al., (Oct 15 2020) | pdf | bibtex | github |

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields, Barron et al., (Nov 23 2021) | pdf | bibtex | github

Speed

-Baked (Faster Inference)

FastNeRF: High-Fidelity Neural Rendering at 200FPS, Garbin et al. (18 Mar 2021) | pdf | bibtex

PlenOctrees For Real-time Rendering of Neural Radiance Fields, Yu et al, (Mar 25 2021) | pdf | bibtex | github

Baking Neural Radiance Fields for Real-Time View Synthesis, Hedman et al., (Mar 26 2021) | pdf | bibtex | github

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs, Reiser et al., (Aug 2 2021) | pdf | bibtex | github

-Non-baked (Faster Inference and Typically Faster Training)

Neural Sparse Voxel Fields, Liu et al., (Jul 22 2020) | pdf | bibtex | github

AutoInt: Automatic integration for fast neural volume rendering, Lindell et al., (Dec 3 2020) | pdf | bibtex | github

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding, Muller et al., (Jan 16 2022) | pdf | bibtex | github

-MLP-less/Direct radiance fields

Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction, Sun et al., (Nov 22 2021) | pdf | bibtex | github

Plenoxels: Radiance Fields without Neural Networks, Yu et al., (Dec 9 2021) | pdf | bibtex | github

TensoRF: Tensorial Radiance Fields, Chen et al., (Mar 17 2022) | pdf | bibtex | github

Few-shot/Sparse View (Typically Faster Training)

GRF: Learning a General Radiance Field for 3D Representation and Rendering, Trevithick and Yang, (Oct 9 2020) | pdf | bibtex | github

PixelNeRF Neural Radiance Fields from One or Few Images, Yu et al., (Dec 3 2020) | pdf | bibtex | github

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo, Chen et al., (Mar 29 2021) | pdf | bibtex | github

Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis, Jain et al., (April 1 2021) | pdf | bibtex | github

Depth-supervised NeRF: Fewer Views and Faster Training for Free, Deng et al., (Jul 6 2021) | pdf | bibtex | github

Neural Rays for Occlusion-aware Image-based Rendering, Liu et al., (Jul 28 2021) | pdf | bibtex | github

Latent-Conditional

Starting from NeRF-W, most urban/outdoors methods use latent codes to condition for lighting/appearance. Many deformation models (faces and bodies) use latent codes to code for pose/deformation. Many scene editing models use latent codes to condition for object pose/deformation.

Latent-Generative

GIRAFFE Representing Scenes as Compositional Generative Neural Feature Fields, Niemeyer and Geiger, (Nov 24, 2020) | pdf | bibtex | github

Generative Radiance Fields for 3D-Aware Image Synthesis, Schwarz et al., (Jul 5 2020) | pdf | bibtex | github

pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis, Chan et al., (Dec 2 2020) | pdf | bibtex | github

GNeRF: GAN-based Neural Radiance Field without Posed Camera, Meng et al., (Mar 29 2021) | pdf | bibtex | github

Pix2NeRF: Unsupervised Conditional p-GAN for Single Image to Neural Radiance Fields Translation, Cai et al., (Feb 26, 2022) | pdf | bibtex | github

Pose Estimation

INeRF: Inverting Neural Radiance Fields for Pose Estimation, Yen-Chen et al, (Dec 10 2020) | pdf | bibtex | github

NeRF--: Neural Radiance Fields Without Known Camera Parameters, Wang et al., (Feb 14 2021) | pdf | bibtex | github

Self-Calibrating Neural Radiance Fields, Jeong et al., (Aug 31 2021) | pdf | bibtex | github

BARF: Bundle-Adjusting Neural Radiance Fields, Lin et al., (Apr 13 2021) | pdf | bibtex | github

-SLAM

iMAP Implicit Mapping and Positioning in Real-Time, Sucar et al., (Mar 23 2021) | pdf | bibtex

NICE-SLAM: Neural Implicit Scalable Encoding for SLAM, Zhu et al., (Dec 22 2021) | pdf | bibtex | github

Scene Composition

-Labelling

In-Place Scene Labelling and Understanding with Implicit Scene Representation, Zhi et al., (Mar 29 2021) | pdf | bibtex | github

FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling, Xie et al., (Apr 17 2021) | pdf | bibtex

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes, Vora et al., (Nov 25 2021) | pdf | bibtex | github

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation, Kundu et al., (May 9 2022) | pdf | bibtex

-Editing

Editing Conditional Radiance Fields, Liu et al., (May 13 2021) | pdf | bibtex | github

CodeNeRF : Disentangled Neural Radiance Fields for Object Categories, Jang and Agapito, (Sep 3 2021) | pdf | bibtex | github

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering, Yang et al., (Sep 4 2021) | pdf | bibtex | github

CoNeRF: Controllable Neural Radiance Fields, Kania et al., (Dec 3 2021) | pdf | bibtex | github

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields, Wang et al., (Dec 9 2021) | pdf | bibtex | github

Urban/Outdoors

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections, Martin-Brualla et al., (Aug 5 2020) | pdf | bibtex | github-non official

Urban Radiance Fields, Rematas et al., (Nov 29 2021) | pdf | bibtex (https://github.com/kyle-gao/NeRF-Survey/new/main/Citations/rematas2022urban)

Ha-NeRF: Hallucinated Neural Radiance Fields in the Wild, Chen et al., (Nov 30 2021) | pdf | bibtex | github

Block-NeRF: Scalable Large Scene Neural View Synthesis, Tancik et al., (Feb 10 2022) | pdf | bibtex

Aerial

Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry, Derksen and Izzo, (Apr 20 2021) | pdf | bibtex |github

BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-scale Scene Rendering, Xiangli et al., (Dec 10 2021) | pdf | bibtex | github

Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs, Turki et al., (Dec 20 2021) | pdf | bibtex | github

Sat-NeRF: Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras, Mari et al., (Mar 16 2022) | pdf | bibtex | github

Human/Articulated Body

Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans, Peng et al., (Dec 31 2020) | pdf | bibtex | github

A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose, Su et al., (Feb 11 2021) | pdf | bibtex | github

HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs, Zhao et al., (Dec 6 2021) | pdf | bibtex | github

HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video, Weng et al., (Jan 11 2022) | pdf | bibtex | github

Structured Local Radiance Fields for Human Avatar Modeling, Zheng et al., (Mar 28 2022) | pdf | bibtex

Face

Nerfies: Deformable Neural Radiance Fields, Park et al., (Nov 25 2020) | pdf | bibtex | github

A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields, Park et al., (Jun 24 2021) | pdf | bibtex | github

HeadNeRF: A Real-time NeRF-based Parametric Head Model, Hong et al., (Dec 10 2021) | pdf | bibtex | github

3D(Surface/voxel/depth) Reconstruction

Neural RGB-D Surface Reconstruction, Azinovic et al., (Apr 9 2021) | pdf | bibtex | github

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction, Oechsle et al., (Apr 20 2021) | pdf | bibtex | github

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction, Wang et al., (Jun 20 2021) | pdf | bibtex | github

NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo, Wei et al., (Sep 2 2021) | pdf | bibtex | github

Denoising/Deblurring/Super-resolution

Deblur-NeRF: Neural Radiance Fields from Blurry Images, Ma et al., (Nov 29 2021) | pdf | bibtex | github

NeRF-SR: High-Quality Neural Radiance Fields using Super-Sampling, Wang et al., (Dec 3 2021) | pdf | bibtex | github

NAN: Noise-Aware NeRFs for Burst-Denoising, Pearl et al., (Apr 10 2022) | pdf | bibtex | github