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윤제로의 제로베이스
Paper Reading 본문
이번 겨울 방학 때 읽고 싶은 논문들,,, 2달 밖에 시간이 없어서 빠듯하게 하루에 한편 목표로 잡아도,,, 50개는 읽을까 싶지만
하루에 한편씩 Rough하게 읽는 게 목표
출처 : https://github.com/MatrixBrain/awesome-NeRF
GitHub - MatrixBrain/awesome-NeRF: A curated list of awesome neural radiance fields (NeRF) papers.
A curated list of awesome neural radiance fields (NeRF) papers. - GitHub - MatrixBrain/awesome-NeRF: A curated list of awesome neural radiance fields (NeRF) papers.
github.com
그리고 머리에 남기고 싶은 내용
https://media-ai.tistory.com/7
논문 읽기와 ML/DL 커리어 경력에 대한 조언 by 앤드류 응
이번 포스팅은 medium 사이트에 있는 포스팅을 번역한 글입니다! 우리 모두의 ML/DL 선생님이신 앤드류응 교수님께서 스탠포트 CS 230 강의에서 ML/DL 커리어와 논문 읽기에 대한 강의를 하신 것을 정
media-ai.tistory.com
2023-1 NeRF
NeRF
Data Augemntation
- GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constrains - ECCV(2022)
Neural-Sim: Learning to generate Training Data wiht NeRF - ECCV(2022) / 2023.01.13- Aug-NeRF: Training Stronger Neural Radiance Fields wiht Triple-Level Physically-Grounded Augmentations - CVPR(2022)
Few Shot
- D^2NeRF: Self-Supervised Desoupling of dynamic and Static objects from a Monocular Video - NeurIPS(2022)
- ActiveNeRF: Learning where to See with Uncertainty Estimation - ECCV(2022)
- SinNeRF: Training Neural Radinace Fields on Complex Scenes from a Single Input Views - CVPR(2022)
- Dense Depth Prirors for Neural Radiance Fields from Sparse Input Views - CVPR(2022)
- RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs - CVPR(2022)
- AutoRF: Learning 3D Object Radiance Fields from Single View Observation - CVPR(2022)
- InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering - CVPR(2022)
- Depth-supervised NeRF: Fewer Views and Faster Training for Free - CVPR(2022)
- Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis - ICCV(2021)
- Neural Radiance Flow for 4D View Synthesis and Video Processing - ICCV(2021)
- MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo - ICCV(2021)
pixelNeRF: Neural Radiance Fields from One or Few Images - CVPR(2021)
Rendering Performance
- MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures - arXiv(2022)
- Compressible-composable NeRF via Rank-residual Decomposition - NeurIPS(2022)
- TensoRF: Tensorial Radiance Fields - NeurIPS(2022)
- NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer - ECCV(2022)
- R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis - ECCV(2022)
- Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation - ECCV(2022)
- Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification - ECCV(2022)
- ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers - ECCV(2022)
- Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation - ECCV(2022)
- Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields - CVPR(2022)
- Urban Radiance Fields - CVPR(2022)
- GeoNeRF: Generalizing NeRF with Geometry Priors - CVPR(2022)
- NeRFReN: Neural Radiance Fields with Reflections - CVPR(2022)
- GNeRF: GAN-based Neural Radiance Field without Posed Camera - ICCV(2021)
- UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction - ICCV(2021)
- MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis - ICCV(2021)
- Nerfies: Deformable Neural Radiance Fields - ICCV(2021)
Training & Inference Efficiency
- Instant Neural Graphics Primitives with a Multiresolution Hash Encoding - ACM TOG(2022)
- Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering - ECCV(2022)
- ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers - ECCV(2022)
- AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields - ECCV(2022)
Point-NeRF: Point-based Neural Radiance Fields - CVPR(2022) / 2023.01.12- DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering - CVPR(2022)
- Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time - CVPR(2022)
- Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction - CVPR(2022)
- EfficientNeRF – Efficient Neural Radiance Fields - CVPR(2022)
- Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields - CVPR(2022)
- Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields - ICCV(2021)
- PlenOctrees for Real-time Rendering of Neural Radiance Fields - ICCV(2021)
- KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs - ICCV(2021)
- Baking Neural Radiance Fields for Real-Time View Synthesis - ICCV(2021)
- DeRF: Decomposed Radiance Fields - CVPR(2021)
NeRF Related Task
Deblur & Denoise
- Deblur-NeRF: Neural Radiance Fields from Blurry Images - CVPR(2022)
- NAN: Noise-Aware NeRFs for Burst-Denoising - CVPR(2022)
- NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images - CVPR(2022)
Depth Estimation
- AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields - CVPR(2022)
- NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo - ICCV(2021)
High Dynamic Range(HDR)
- HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields - ECCV(2022)
- HDR-NeRF: High Dynamic Range Neural Radiance Fields - CVPR(2022)
Large Scale Scene
- NeRF for Outdoor Scene Relighting - ECCV(2022)
- NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction - CVPR(2022)
- Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs - CVPR(2022)
- Block-NeRF: Scalable Large Scene Neural View Synthesis - CVPR(2022)
- Hallucinated Neural Radiance Fields in the Wild - CVPR(2022)
- Unconstrained Scene Generation with Locally Conditioned Radiance Fields - ICCV(2021)
- NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections - CVPR(2021)
Pose Misalignment
- BARF: Bundle-Adjusting Neural Radiance Fields - ICCV(2021)
Reinforcement Learning
- Reinforcement Learning with Neural Radiance Fields - NeurIPS(2022)
Relighting
- NeRF for Outdoor Scene Relighting - ECCV(2022)
- Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation - ACM MM(2022)
- NeRD: Neural Reflectance Decomposition from Image Collections - CVPR(2021)
- NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis - CVPR(2021)
- NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination - ACM TOG(2021)
Segmentation
- Decomposing NeRF for Editing via Feature Field Distillation - NeurIPS(2022)
- LaTeRF: Label and Text Driven Object Radiance Fields - ECCV(2022)
Stylized
- ARF: Artistic Radiance fields - ECCV(2022)
- StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning - CVPR(2022)
- Learning to Stylize Novel Views - ICCV(2021)
Surface Reconstruction
- UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction - ICCV(2021)
- NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction - NeurIPS(2021)
- Volume Rendering of Neural Implicit Surfaces - NeurIPS(2021)
View Synthesis Exrapolation
- Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation - CVPR(2022)
++++
- Neural Volumetric Object Selection - CVPR(2022)
- CodeNeRF: Disentangled Neural Radiance Fields for Object Categories - ICCV(2021)
- Self-Calibrating Neural Radiance Fields - ICCV(2021)
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