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Xzzit committed Jan 31, 2023
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@@ -19,7 +19,10 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
## Papers
- [NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](https://www.matthewtancik.com/nerf), Mildenhall et al., ECCV 2020 | [github](https://github.com/bmild/nerf) | [bibtex](./NeRF-and-Beyond.bib#L168-L173) <!---Mildenhall20eccv_nerf-->

#### Faster Inference

<details open>
<summary>Faster Inference</summary>

- [Learning Neural Transmittance for Efficient Rendering of Reflectance Fields](https://cseweb.ucsd.edu/~viscomp/projects/NeuralTransmittance/index.html), Mohammad Shafiei et al., BMVC 2021 | [bibtex](./citations/NeuralTransmittance.txt)
- [Neural Sparse Voxel Fields](https://lingjie0206.github.io/papers/NSVF/), Liu et al., NeurIPS 2020 | [github](https://github.com/facebookresearch/NSVF) | [bibtex](./NeRF-and-Beyond.bib#L135-L141) <!---Liu20neurips_sparse_nerf-->
- [AutoInt: Automatic Integration for Fast Neural Volume Rendering](http://www.computationalimaging.org/publications/automatic-integration/), Lindell et al., CVPR 2021 | [github](https://github.com/computational-imaging/automatic-integration) | [bibtex](./NeRF-and-Beyond.bib#L127-L133) <!---Lindell20arxiv_AutoInt-->
@@ -34,19 +37,31 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
- [ENeRF: Efficient Neural Radiance Fields for Interactive Free-viewpoint Video](https://zju3dv.github.io/enerf/), Lin et al., SIGGRAPH 2022 | [github](https://github.com/zju3dv/ENeRF) | [bibtex](./citations/enerf.txt)
- [R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis](https://arxiv.org/abs/2203.17261), Wang et al., ECCV 2022 | [github](https://github.com/snap-research/R2L) | [bibtex](./citations/r2l.txt) <!---wang2022r2l-->
- [Real-Time Neural Light Field on Mobile Devices](https://arxiv.org/abs/2212.08057), Cao et al., Arxiv 2022 | [github](https://github.com/snap-research/MobileR2L) | [bibtext](./citations/r2l-mobile.txt) <!---cao2022mobiler2l-->
</details>


<details open>
<summary>Faster Training</summary>

#### Faster Training
- [Depth-supervised NeRF: Fewer Views and Faster Training for Free](https://arxiv.org/pdf/2107.02791.pdf), Deng et al., Arxiv 2021 | [github](https://github.com/dunbar12138/DSNeRF) | [bibtex](./citations/dsnerf.txt)
- [Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction](https://arxiv.org/abs/2111.11215.pdf), Sun et al., CVPR 2022 | [github](https://github.com/sunset1995/DirectVoxGO) | [bibtex](./citations/DirectVoxGO.txt) <!---sun2021direct-->
- [Instant Neural Graphics Primitives with a Multiresolution Hash Encoding](https://nvlabs.github.io/instant-ngp/), Müller et al., SIGGRAPH 2022 | [github](https://github.com/NVlabs/instant-ngp) | [bibtex](./citations/instant-ngp.txt)
- [Plenoxels Radiance Fields without Neural Networks](https://alexyu.net/plenoxels/), Yu et al., CVPR 2022 | [github](https://github.com/sxyu/svox2) | [bibtex](./citations/plenoxels.txt)
- [TensoRF: Tensorial Radiance Fields](https://apchenstu.github.io/TensoRF/), Chen et al., ECCV 2022 | [github](https://github.com/apchenstu/TensoRF) | [bibtex](./citations/tensorf.txt)
</details>


<details open>
<summary>Unconstrained Images</summary>

#### Unconstrained Images
- [NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections](https://nerf-w.github.io/), Martin-Brualla et al., CVPR 2021 | [bibtex](./NeRF-and-Beyond.bib#L152-L158) <!---MartinBrualla20arxiv_nerfw-->
- [Ha-NeRF:laughing:: Hallucinated Neural Radiance Fields in the Wild](https://rover-xingyu.github.io/Ha-NeRF/), Chen et al., Arxiv 2021 | [github](https://github.com/rover-xingyu/Ha-NeRF) | [bibtex](./citations/Ha-NeRF.txt) <!---chen2021hallucinated-->
</details>


<details open>
<summary>Deformable</summary>

#### Deformable
- [Deformable Neural Radiance Fields](https://nerfies.github.io/), Park et al., Arxiv 2020 | [github](https://github.com/google/nerfies) | [bibtex](./NeRF-and-Beyond.bib#L206-L212) <!---Park20arxiv_nerfies-->
- [D-NeRF: Neural Radiance Fields for Dynamic Scenes](https://www.albertpumarola.com/research/D-NeRF/index.html), Pumarola et al., CVPR 2021 | [github](https://github.com/albertpumarola/D-NeRF) | [bibtex](./NeRF-and-Beyond.bib#L214-L220) <!---Pumarola20arxiv_D_NeRF-->
- [Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction](https://gafniguy.github.io/4D-Facial-Avatars/), Gafni et al., CVPR 2021 | [github](https://github.com/gafniguy/4D-Facial-Avatars) | [bibtex](./NeRF-and-Beyond.bib#L87-L93) <!---Gafni20arxiv_DNRF-->
@@ -59,8 +74,12 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
- [Animatable Neural Radiance Fields from Monocular RGB Videos](https://arxiv.org/abs/2106.13629), Chen et al., Arxiv 2021 | [github](https://github.com/JanaldoChen/Anim-NeRF) | [bibtex](citations/anim_nerf.txt)
- [Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control](https://vcai.mpi-inf.mpg.de/projects/NeuralActor/), Liu et al., SIGGRAPH Asia 2021 | [bibtex](./citations/neuralactor.txt)
- [HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video](https://grail.cs.washington.edu/projects/humannerf/), Weng et al., CVPR 2022 | [github](https://github.com/chungyiweng/humannerf) | [bibtex](./citations/humannerf.txt)
</details>


<details open>
<summary>Video</summary>

#### Video
- [Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes](http://www.cs.cornell.edu/~zl548/NSFF/), Li et al., CVPR 2021 | [github](https://github.com/zhengqili/Neural-Scene-Flow-Fields) | [bibtex](./NeRF-and-Beyond.bib#L119-L125) <!---Li20arxiv_nsff-->
- [Space-time Neural Irradiance Fields for Free-Viewpoint Video](https://video-nerf.github.io/), Xian et al., CVPR 2021 | [bibtex](./NeRF-and-Beyond.bib#L299-L305) <!---Xian20arxiv_stnif-->
- [Neural Radiance Flow for 4D View Synthesis and Video Processing](https://yilundu.github.io/nerflow/), Du et al., Arxiv 2020 | [bibtex](./NeRF-and-Beyond.bib#L79-L85) <!---Du20arxiv_nerflow-->
@@ -70,8 +89,12 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
- [Dynamic View Synthesis from Dynamic Monocular Video](https://free-view-video.github.io/), Gao et al., ICCV 2021 | [bibtex](./citations/dvs_dmv.txt)
- [Block-NeRF: Scalable Large Scene Neural View Synthesis](https://waymo.com/research/block-nerf/), Tancik et al., Arxiv 2022 | [bibtex](./citations/Block-NeRF.txt)
- [Streaming Radiance Fields for 3D Video Synthesis](https://arxiv.org/abs/2210.14831) Li et al. NeurIPS 2022 | [github](https://github.com/AlgoHunt/StreamRF) | [bibtex](./citations/StreamRF.txt)
</details>


<details open>
<summary>Generalization</summary>

#### Generalization
- [GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis](https://arxiv.org/abs/2007.02442), Schwarz et al., NeurIPS 2020 | [github](https://github.com/autonomousvision/graf) | [bibtex](./NeRF-and-Beyond.bib#L237-L243) <!---Schwarz20neurips_graf-->
- [GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering](https://arxiv.org/abs/2010.04595), Trevithick and Yang, Arxiv 2020 | [github](https://github.com/alextrevithick/GRF) | [bibtex](./NeRF-and-Beyond.bib#L291-L297) <!---Trevithick20arxiv_GRF-->
- [pixelNeRF: Neural Radiance Fields from One or Few Images](https://arxiv.org/abs/2012.02190), Yu et al., CVPR 2021 | [github](https://github.com/sxyu/pixel-nerf) | [bibtex](./NeRF-and-Beyond.bib#L329-L335) <!---Yu20arxiv_pixelNeRF-->
@@ -94,8 +117,12 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
- [Generative Occupancy Fields for 3D Surface-Aware Image Synthesis](https://sheldontsui.github.io/projects/GOF), Xu et al., NeurIPS 2021 | [github](https://github.com/SheldonTsui/GOF_NeurIPS2021) | [bibtex](./citations/gof.txt)
- [NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images](https://bmild.github.io/rawnerf/), Ben Mildenhall et al, arXiv 2021 | [bibtex](./citations/rawnerf.txt)
- [Point-NeRF: Point-based Neural Radiance Fields](https://xharlie.github.io/projects/project_sites/pointnerf/index.html), Xu et al., CVPR 2022 | [github](https://github.com/Xharlie/pointnerf) | [bibtex](./citations/Point-NeRF.txt)
</details>


<details open>
<summary>Pose Estimation</summary>

#### Pose Estimation
- [iNeRF: Inverting Neural Radiance Fields for Pose Estimation](http://yenchenlin.me/inerf/), Yen-Chen et al. IROS 2021 | [bibtex](./NeRF-and-Beyond.bib#L321-L327) <!---YenChen20arxiv_iNeRF-->
- [A-NeRF: Surface-free Human 3D Pose Refinement via Neural Rendering](https://zollhoefer.com/papers/arXiv20_ANeRF/page.html), Su et al. Arxiv 2021 | [bibtex](./citations/a-nerf.txt) <!---Su21arxiv_A_NeRF-->
- [NeRF--: Neural Radiance Fields Without Known Camera Parameters](http://nerfmm.active.vision/), Wang et al., Arxiv 2021 | [github](https://github.com/ActiveVisionLab/nerfmm) | [bibtex](./citations/nerf--.txt) <!---Wang21arxiv_nerfmm-->
@@ -104,16 +131,24 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
- [GNeRF: GAN-based Neural Radiance Field without Posed Camera](https://arxiv.org/abs/2103.15606), Meng et al., Arxiv 2021 | [bibtex](https://github.com/yenchenlin/awesome-NeRF/blob/main/citations/gnerf.txt)
- [BARF: Bundle-Adjusting Neural Radiance Fields](https://chenhsuanlin.bitbucket.io/bundle-adjusting-NeRF/), Lin et al., ICCV 2021 | [bibtex](./citations/barf.txt)
- [Self-Calibrating Neural Radiance Fields](https://postech-cvlab.github.io/SCNeRF/), Jeong et al., ICCV 2021 | [github](https://github.com/POSTECH-CVLab/SCNeRF) | [bibtex](https://github.com/yenchenlin/awesome-NeRF/blob/main/citations/SCNeRF.txt)
</details>


<details open>
<summary>Lighting</summary>

#### Lighting
- [NeRD: Neural Reflectance Decomposition from Image Collections](https://markboss.me/publication/2021-nerd/), Boss et al., Arxiv 2020 | [github](https://github.com/cgtuebingen/NeRD-Neural-Reflectance-Decomposition) | [bibtex](./NeRF-and-Beyond.bib#L9-L15) <!---Boss20arxiv_NeRD-->
- [NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis](https://people.eecs.berkeley.edu/~pratul/nerv/), Srinivasan et al. CVPR 2021 | [bibtex](./NeRF-and-Beyond.bib#L260-L266) <!---Srinivasan20arxiv_NeRV-->
- [NeX: Real-time View Synthesis with Neural Basis Expansion](https://nex-mpi.github.io/), Wizadwongsa et al. Arxiv 2021 | [github](https://github.com/nex-mpi/nex-code) | [bibtex](./citations/nex.txt)
- [NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination](http://people.csail.mit.edu/xiuming/projects/nerfactor/), Zhang et al. Arxiv 2021 | [github](https://github.com/google/nerfactor) | [bibtex](./citations/nerfactor.txt)
- [A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis](https://xingangpan.github.io/projects/ShadeGAN.html), Pan et al., NeurIPS 2021 | [github](https://github.com/XingangPan/ShadeGAN) | [bibtex](./citations/shadegan.txt)
- [KiloNeuS: Implicit Neural Representations with Real-Time Global Illumination](https://arxiv.org/abs/2206.10885), Esposito et al., Arxiv 2022 | [bibtex](https://github.com/yenchenlin/awesome-NeRF/blob/main/citations/kiloneus.txt)
</details>


<details open>
<summary>Compositionality</summary>

#### Compositionality
- [NeRF++: Analyzing and Improving Neural Radiance Fields](https://arxiv.org/abs/2010.07492), Zhang et al., Arxiv 2020 | [github](https://github.com/Kai-46/nerfplusplus) | [bibtex](./NeRF-and-Beyond.bib#L345-L351) <!---Zhang20arxiv_nerf++-->
- [GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields](https://arxiv.org/abs/2011.12100), Niemeyer et al., CVPR 2021, [bibtex](./NeRF-and-Beyond.bib#L175-L181) <!---Niemeyer20arxiv_GIRAFFE-->
- [Object-Centric Neural Scene Rendering](https://shellguo.com/osf/), Guo et al., Arxiv 2020 | [bibtex](./NeRF-and-Beyond.bib#L111-L117) <!---Guo20arxiv_OSF-->
@@ -122,34 +157,63 @@ A curated list of awesome neural radiance fields papers, inspired by [awesome-co
- [Unsupervised Discovery of Object Radiance Fields](https://kovenyu.com/uorf/), Yu et al., Arxiv 2021 | [bibtex](./citations/uorf.txt)
- [Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering](https://zju3dv.github.io/object_nerf/), Yang et al., ICCV 2021 | [github](https://github.com/zju3dv/object_nerf) | [bibtex](./citations/object-nerf.txt) <!---yang2021objectnerf-->
- [MoFaNeRF: Morphable Facial Neural Radiance Field](https://neverstopzyy.github.io/mofanerf/), Zhuang et al., Arxiv 2021 | [github](https://github.com/zhuhao-nju/mofanerf) | [bibtex](./citations/mofaNeRF.txt)
</details>


<details open>
<summary>Scene Labelling and Understanding</summary>

#### Scene Labelling and Understanding
- [In-Place Scene Labelling and Understanding with Implicit Scene Representation](https://shuaifengzhi.com/Semantic-NeRF/), Zhi et al., Arxiv 2021 | [bibtex](./citations/semantic-nerf.txt)
</details>


<details open>
<summary>Editing</summary>

#### Editing
- [Editing Conditional Radiance Fields](http://editnerf.csail.mit.edu/), Liu et al., Arxiv 2021 | [github](https://github.com/stevliu/editnerf) | [bibtex](./citations/editnerf.txt)
- [Editable Free-viewpoint Video Using a Layered Neural Representation](https://jiakai-zhang.github.io/st-nerf/), Zhang et al., SIGGRAPH 2021 | [github](https://github.com/DarlingHang/st-nerf) | [bibtex](./citations/st-nerf.txt)
- [NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors](https://jdily.github.io/proj_site/nerfin_proj.html), Liu et al., Arxiv 2022 | [bibtex](./citations/nerf-in.txt)
</details>


<details open>
<summary>Object Category Modeling</summary>

#### Object Category Modeling
- [FiG-NeRF: Figure Ground Neural Radiance Fields for 3D Object Category Modelling](https://fig-nerf.github.io/), Xie et al., Arxiv 2021 | [bibtex](./citations/fig-nerf.txt)
- [NeRF-Tex: Neural Reflectance Field Textures](https://developer.nvidia.com/blog/nvidia-research-nerf-tex-neural-reflectance-field-textures/), Baatz et al., EGSR 2021 | [bibtex](./citations/nerf-tex.txt)
</details>


<details open>
<summary>Multi-scale</summary>

#### Multi-scale
- [Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields](https://jonbarron.info/mipnerf/), Barron et al., Arxiv 2021 | [github](https://github.com/google/mipnerf) | [bibtex](./citations/mipnerf.txt)
- [Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields](https://jonbarron.info/mipnerf360/), Barron et al., Arxiv 2022 | [bibtex](./citations/mip-nerf-360.txt)
</details>


<details open>
<summary>Model Reconstruction</summary>

#### Model Reconstruction
- [UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction](https://arxiv.org/abs/2104.10078), Oechsle et al., ICCV 2021 | [bibtex](./citations/unisurf.txt)
- [NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction](https://arxiv.org/abs/2106.10689), Wang et al., NeurIPS 2021 | [github](https://github.com/Totoro97/NeuS) | [bibtex](./citations/neus.txt)
- [Volume Rendering of Neural Implicit Surfaces](https://arxiv.org/abs/2106.12052), Yariv et al., NeurIPS 2021 | [github](https://github.com/ventusff/neurecon) | [bibtex](./citations/volsdf.txt)
</details>


<details open>
<summary>Depth Estimation</summary>

#### Depth Estimation
- [NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo](https://weiyithu.github.io/NerfingMVS/), Wei et al., ICCV 2021 | [bibtex](./citations/NerfingMVS.txt)
</details>


<details open>
<summary>Robotics</summary>

#### Robotics
- [3D Neural Scene Representations for Visuomotor Control](https://3d-representation-learning.github.io/nerf-dy/), Li et al., CoRL 2021 Oral | [bibtex](./citations/nerf-dy.txt)
- [Vision-Only Robot Navigation in a Neural Radiance World](https://arxiv.org/abs/2110.00168), Adamkiewicz et al., RA-L 2022 Vol.7 No.2 | [bibtex](./citations/vision-only.txt)
</details>

## Talks
- [NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis](https://www.youtube.com/watch?v=LCTYRqW-ne8&t=10190s), Ben Mildenhall

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