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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
Last synced: 16 days ago
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All NeRF&3DGS-related papers at CVPR
- Host: GitHub
- URL: https://github.com/Yubel426/NeRF-3DGS-at-CVPR-2024
- Owner: Yubel426
- Created: 2024-03-12T10:04:00.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-03-26T07:51:12.000Z (10 months ago)
- Last Synced: 2024-09-13T06:27:00.811Z (4 months ago)
- Homepage:
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- Stars: 93
- Watchers: 4
- Forks: 6
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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)