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https://github.com/Yubel426/NeRF-3DGS-at-CVPR-2024

All NeRF&3DGS-related papers at CVPR
https://github.com/Yubel426/NeRF-3DGS-at-CVPR-2024
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All NeRF&3DGS-related papers at CVPR
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URL: https://github.com/Yubel426/NeRF-3DGS-at-CVPR-2024
Owner: Yubel426
Created: 2024-03-12T10:04:00.000Z (9 months ago)
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        # All NeRF&3DGS-related Papers at CVPR 2024

We've compiled all papers presented at CVPR’24.

There are more than 120 (71+58) papers related to NeRF and 3DGS at the CVPR 2024 conference.

All papers can be found at

[NeRF at CVPR](https://github.com/Yubel426/NeRF-3DGS-at-CVPR-2024/blob/main/NeRF%20at%20CVPR%202024.md) and

[3DGS at CVPR](https://github.com/Yubel426/NeRF-3DGS-at-CVPR-2024/blob/main/3DGS%20at%20CVPR%202024.md).

The following is a list of papers with code or paper.

- [NeRF](#nerf-at-cvpr-2024)

- [3DGS](#3dgs-at-cvpr-2024)

## NeRF at CVPR 2024

### Faster Inference

- HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces

  [Paper](https://arxiv.org/abs/2312.03160)

  [Project](https://haithemturki.com/hybrid-nerf/)

- Neural Super-Resolution for Real-time Rendering with Radiance Demodulation

[Paper](https://arxiv.org/abs/2308.06699)

###  Semantic Segmentation

- GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding

  [Paper](https://arxiv.org/abs/2311.11863)

- GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

  [Paper](https://arxiv.org/abs/2403.03608)

- SANeRF-HQ: Segment Anything for NeRF in High Quality

  [Paper](https://arxiv.org/abs/2312.01531)

  [Project](https://lyclyc52.github.io/SANeRF-HQ/)

- GARField: Group Anything with Radiance Fields

[Paper](https://arxiv.org/abs/2401.09419)

[Project](https://www.garfield.studio/)

- Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery

[Project](https://zyqz97.github.io/Aerial_Lifting/)

### Imaging Tasks

- ADFactory: An Effective Framework for Generalizing Optical Flow with Nerf

  [Paper](https://arxiv.org/abs/2311.04246)

- S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes

[Paper](https://arxiv.org/abs/2403.06205)

[Project](https://xingyi-li.github.io/s-dyrf/)

- Neural Super-Resolution for Real-time Rendering with Radiance Demodulation

[Paper](https://arxiv.org/abs/2308.06699)

- NeRFiller: Completing Scenes via Generative 3D Inpainting

  [Paper](https://arxiv.org/abs/2312.04560)

  [Project](https://ethanweber.me/nerfiller/)

### Editing

- LAENeRF: Local Appearance Editing for Neural Radiance Fields

  [Paper](https://arxiv.org/abs/2312.09913)

  [Project](https://r4dl.github.io/LAENeRF/)

- SIGNeRF: Scene Integrated Generation for Neural Radiance Fields

  [Paper](https://arxiv.org/abs/2401.01647)

  [Project](https://signerf.jdihlmann.com/)

  

- NeRF Analogies - Example-Based Visual Attribute Transfer for NeRFs

  [Paper](https://arxiv.org/abs/2402.08622)

  [Project](https://mfischer-ucl.github.io/nerf_analogies/)

  

- DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing

  [Paper](https://arxiv.org/abs/2310.10624)

  [Project](https://showlab.github.io/DynVideo-E/)

  

- Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training

  [Paper](https://arxiv.org/abs/2312.01663)

  [Project](https://customnerf.github.io/)

- Geometry Transfer for Stylizing Radiance Fields

[Paper](https://arxiv.org/abs/2402.00863)

[Project](https://hyblue.github.io/geo-srf/)

- Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates

[Paper](https://arxiv.org/abs/2309.11281)

[Project](https://github.com/kcshum/pose-conditioned-NeRF-object-fusion)

- BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation

[Paper](https://arxiv.org/abs/2312.02136)

[Project](https://zqh0253.github.io/BerfScene/)

### Generation&Human

- Cinematic Behavior Transfer via NeRF-based Differentiable Filming

  [Paper](https://arxiv.org/abs/2311.17754)

  [Project](https://virtualfilmstudio.github.io/projects/cinetransfer/)

  

- HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses

  [Paper](https://arxiv.org/abs/2312.02232)

  [Project](https://miles629.github.io/humannerf-se.github.io/)

- DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing

  [Paper](https://arxiv.org/abs/2310.10624)

  [Project](https://showlab.github.io/DynVideo-E/)

- TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields

  [Paper](https://arxiv.org/abs/2305.11588)

  [Project](https://eckertzhang.github.io/Text2NeRF.github.io/)

### Pose Estimation

- Unifying Correspondence, Pose and NeRF for Pose-Free Novel View Synthesis from Stereo Pairs

  [Paper](https://arxiv.org/abs/2312.07246)

  [Project](https://ku-cvlab.github.io/CoPoNeRF/)

- ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

[Paper](https://arxiv.org/abs/2401.08937)

### Dynamic 

- DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing

  [Paper](https://arxiv.org/abs/2310.10624)

  [Project](https://showlab.github.io/DynVideo-E/)

- DaReNeRF: Direction-aware Representation for Dynamic Scenes

[Paper](https://arxiv.org/abs/2403.02265)

- S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes

[Paper](https://arxiv.org/abs/2403.06205)

[Project](https://xingyi-li.github.io/s-dyrf/)

- DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video

[Paper](https://arxiv.org/abs/2403.10103)

[Project](https://huiqiang-sun.github.io/dyblurf/)

- VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams

[Paper](https://arxiv.org/abs/2312.01407)

[Project](https://aoliao12138.github.io/VideoRF/)

### Compression

- TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video

[Paper](https://arxiv.org/abs/2312.06713)

[Project](https://wuminye.github.io/projects/TeTriRF/)

- VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams

[Paper](https://arxiv.org/abs/2312.01407)

[Project](https://aoliao12138.github.io/VideoRF/)

### FewShot

- MuRF: Multi-Baseline Radiance Fields

[Paper](https://arxiv.org/abs/2312.04565)

[Project](https://haofeixu.github.io/murf/)

- Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?

[Paper](https://arxiv.org/abs/2403.06092)

### Inverse Render

- Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields

[Project](https://www.whyy.site/paper/nep)

- SpecNeRF: Gaussian Directional Encoding for Specular Reflections

  [Paper](https://arxiv.org/abs/2312.13102)

  [Project](https://limacv.github.io/SpecNeRF_web/)

### Generalizable 

- Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields

[Paper](https://arxiv.org/abs/2311.11845)

[Project](https://github.com/tatakai1/evenerf)

- GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding

  [Paper](https://arxiv.org/abs/2403.03608)

  

### Others

- Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

[Paper](https://arxiv.org/abs/2309.03185)

[Project](https://bayesrays.github.io/)

- WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights

  [Paper](https://arxiv.org/pdf/2312.02456)

- IReNe: Instant Recoloring of Neural Radiance Fields

[Paper](https://arxiv.org/abs/2309.01811)

[Project](https://ryanpo.com/icngp/)

- SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields

[Paper](https://arxiv.org/abs/2311.15803)

[Project](https://qherau.github.io/SOAC/)

- PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF

  [Paper](https://arxiv.org/abs/2311.13099)

  [Project](https://fytalon.github.io/pienerf/)

- PlatoNeRF: 3D Reconstruction in Plato’s Cave via Single-View Two-Bounce Lidar

  [Paper](https://arxiv.org/abs/2312.14239)

  [Project](https://platonerf.github.io/)

- L0-Sampler: An L0 Model Guided Volume Sampling for NeRF

  [Paper](https://arxiv.org/abs/2311.07044)

  [Project](https://ustc3dv.github.io/L0-Sampler/)

## 3DGS at CVPR 2024

### Photorealism

- FreGS: 3D Gaussian Splatting with Progressive Frequency Regularization

[Paper](https://arxiv.org/abs/2403.06908)

- VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction

[Paper](https://arxiv.org/abs/2402.17427)

[Project](https://vastgaussian.github.io/)

- Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering

[Paper](https://arxiv.org/abs/2312.00109)

[Project](https://city-super.github.io/scaffold-gs/)

- Multi-Scale 3D Gaussian Splatting for Anti-Aliased Rendering

[Paper](https://arxiv.org/abs/2311.17089)

- GaussianShader: 3D Gaussian Splatting with Shading Functions for Reflective Surfaces

[Paper](https://arxiv.org/abs/2311.17977)

[Project](https://asparagus15.github.io/GaussianShader.github.io/)

- Mip-Splatting: Alias-free 3D Gaussian Splatting

[Paper](https://arxiv.org/abs/2311.16493)

[Project](https://niujinshuchong.github.io/mip-splatting/)

### Efficiency

- GES: Generalized Exponential Splatting for Efficient Radiance Field Rendering

[Paper](https://arxiv.org/abs/2402.10128)

[Project](https://abdullahamdi.com/ges/)

- HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting

[Paper](https://arxiv.org/abs/2312.03461)

 

- Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis

[Paper](https://arxiv.org/abs/2401.02436)

[Project](https://keksboter.github.io/c3dgs/)

- 3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

[Paper](https://arxiv.org/abs/2403.01444)

[Project](https://sjojok.github.io/3dgstream/)

- Compact 3D Gaussian Representation for Radiance Field

[Paper](https://arxiv.org/abs/2311.13681)

[Project](https://maincold2.github.io/c3dgs/)

- GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis

[Paper](https://arxiv.org/abs/2312.02155)

[Project](https://shunyuanzheng.github.io/GPS-Gaussian)

### Virtual Humans  

- ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering

[Paper](https://arxiv.org/abs/2312.05941)

[Project](https://vcai.mpi-inf.mpg.de/projects/ash/)

- Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling

[Paper](https://arxiv.org/abs/2311.16096)

[Project](https://animatable-gaussians.github.io/)

- Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians

[Paper](https://arxiv.org/abs/2312.03029)

[Project](https://yuelangx.github.io/gaussianheadavatar/)

- SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting

[Paper](https://arxiv.org/abs/2403.05087)

[Project](https://github.com/initialneil/SplattingAvatar)

- Human Gaussian Splatting : Real-time Rendering of Animatable Avatars

[Paper](https://arxiv.org/abs/2311.17113)

- GaussianAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh

[Paper](https://arxiv.org/abs/2312.02134)

[Project](https://github.com/aipixel/GaussianAvatar)

- GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians

[Paper](https://arxiv.org/abs/2312.02069)

[Project](https://shenhanqian.github.io/gaussian-avatars)

- 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting

[Paper](https://arxiv.org/abs/2312.09228)

[Project](https://neuralbodies.github.io/3DGS-Avatar/)

- GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians

[Paper](https://arxiv.org/abs/2312.02134)

[Project](https://github.com/aipixel/GaussianAvatar)

- Relightable Gaussian Avatars

[Paper](https://arxiv.org/abs/2312.03704)

[Project](https://shunsukesaito.github.io/rgca/)

- GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning

[Paper](https://arxiv.org/abs/2312.11461)

[Project](https://nvlabs.github.io/GAvatar/)

- GauHuman: Articulated Gaussian Splatting for Real-Time 3D Human Rendering

[Paper](https://arxiv.org/abs/2312.02973)

[Project](https://skhu101.github.io/GauHuman/)

- HUGS: Human Gaussian Splatting

[Paper](https://arxiv.org/abs/2311.17910)

[Project](https://machinelearning.apple.com/research/hugs)

- Gaussian Shadow Casting for Neural Characters

[Paper](https://arxiv.org/abs/2401.06116)

- Gaussian Shell Maps for Efficient 3D Human Generation

[Paper](https://arxiv.org/abs/2311.17857)

[Project](https://rameenabdal.github.io/GaussianShellMaps/)

- HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting

[Paper](https://arxiv.org/abs/2311.17061)

[Project](https://alvinliu0.github.io/projects/HumanGaussian)

### Editing

- GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

[Paper](https://arxiv.org/abs/2311.14521)

[Project](https://buaacyw.github.io/gaussian-editor/)

- GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions

[Paper](https://arxiv.org/abs/2311.16037)

[Project](https://gaussianeditor.github.io/)

- CoGS: Controllable Gaussian Splatting

[Paper](https://arxiv.org/abs/2312.05664)

[Project](https://cogs2023.github.io/)

- SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes

[Paper](https://arxiv.org/abs/2312.14937)

[Project](https://yihua7.github.io/SC-GS-web/)

- SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering

[Paper](https://arxiv.org/abs/2311.12775)

[Project](https://imagine.enpc.fr/~guedona/sugar/)

### Dynamic

- Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis

[Paper](https://arxiv.org/abs/2312.16812)

[Project](https://oppo-us-research.github.io/SpacetimeGaussians-website/)

- Gaussian-Flow: 4D Reconstruction with Dynamic 3D Gaussian Particle

[Paper](https://arxiv.org/abs/2312.03431)

[Project](https://nju-3dv.github.io/projects/Gaussian-Flow/)

- DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

[Paper](https://arxiv.org/abs/2312.07920)

[Project](https://pkuvdig.github.io/DrivingGaussian/)

- 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering

[Paper](https://arxiv.org/abs/2310.08528)

[Project](https://guanjunwu.github.io/4dgs/)

- Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction

[Paper](https://arxiv.org/abs/2309.13101)

[Project](https://github.com/ingra14m/Deformable-3D-Gaussians)

### Generation

- Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models

[Paper](https://arxiv.org/abs/2312.13763)

[Project](https://research.nvidia.com/labs/toronto-ai/AlignYourGaussians/samples.html)

- GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

[Paper](https://arxiv.org/abs/2310.08529)

[Project](https://taoranyi.com/gaussiandreamer/)

- Text-to-3D using Gaussian Splatting

[Paper](https://arxiv.org/abs/2309.16585)

[Project](https://gsgen3d.github.io/)

- Gaussian Shell Maps for Efficient 3D Human Generation

[Paper](https://arxiv.org/abs/2311.17857)

[Project](https://rameenabdal.github.io/GaussianShellMaps/)

- HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting

[Paper](https://arxiv.org/abs/2311.17061)

[Project](https://alvinliu0.github.io/projects/HumanGaussian)

### FewShot&Monocular

- DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization

[Paper](https://arxiv.org/abs/2403.06912)

[Project](https://fictionarry.github.io/DNGaussian/)

  

- pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction

[Paper](https://arxiv.org/abs/2312.12337)

[Project](https://pixelsplat.github.io/)

- Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers

[Paper](https://arxiv.org/abs/2312.09147)

[Project](https://zouzx.github.io/TriplaneGaussian/)

- Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction

[Paper](https://arxiv.org/abs/2312.01196)

- GART: Gaussian Articulated Template Models

[Paper](https://arxiv.org/abs/2311.16099)

[Project](https://www.cis.upenn.edu/~leijh/projects/gart/)

### Slam

- Gaussian Splatting SLAM

[Paper](https://arxiv.org/abs/2312.06741)

[Project](https://rmurai.co.uk/projects/GaussianSplattingSLAM/)

- Splat-SLAM: Dense RGB-D SLAM via 3D Gaussian Splatting

[Paper](https://arxiv.org/abs/2312.02126)

[Project](https://spla-tam.github.io/)

- GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting

[Paper](https://arxiv.org/abs/2311.11700)

### Language Embedded

- LangSplat: 3D Language Gaussian Splatting

[Paper](https://arxiv.org/abs/2312.16084)

[Project](https://langsplat.github.io/)

- Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding

[Paper](https://arxiv.org/abs/2311.18482)

[Project](https://buaavrcg.github.io/LEGaussians/)

### Inverse Rendering

- GS-IR: 3D Gaussian Splatting for Inverse Rendering

[Paper](https://arxiv.org/abs/2311.16473)

[Project](https://github.com/lzhnb/GS-IR)

- Relightable Gaussian Avatars

[Paper](https://arxiv.org/abs/2312.03704)

[Project](https://shunsukesaito.github.io/rgca/)

### Segmentation

- Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

[Paper](https://arxiv.org/abs/2312.03203)

[Project](https://feature-3dgs.github.io/)

### Pose Free

- COLMAP-Free 3D Gaussian Splatting

[Paper](https://arxiv.org/abs/2312.07504)

[Project](https://oasisyang.github.io/colmap-free-3dgs/)

### Large Scene

- HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting

[Paper](https://arxiv.org/abs/2403.12722)

[Project](https://niujinshuchong.github.io/mip-splatting/)

### Others

- PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics

[Paper](https://arxiv.org/abs/2311.12198)

[Project](https://xpandora.github.io/PhysGaussian/)

- MANUS: Markerless Hand-Object Grasp Capture using Articulated 3D Gaussians

[Paper](https://arxiv.org/abs/2312.02137)