awesome-nerf-editing
🧙🏻♂️A list of papers curated for you to dive into the Awesome Radiance Field-based 3D Editing.
https://github.com/EricLee0224/awesome-nerf-editing
Last synced: 5 days ago
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🗃️Recent Research
- NeRFEditor: Differentiable Style Decomposition for 3D Scene Editing
- Volumetric Disentanglement for 3D Scene Manipulation - disentanglement/)
- Fast Sun-aligned Outdoor Scene Relighting based on TensoRF
- Open-NeRF: Towards Open Vocabulary NeRF Decomposition
- Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture - jack.github.io/SSR/)
- Text-Guided Generation and Editing of Compositional 3D Avatars - edit)
- Learning Controllable 3D Diffusion Models from Single-view Images
- Compositional 3D Scene Generation using Locally Conditioned Diffusion
- Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models
- NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors
- UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene - NeRF/)
- FDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models
- MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving - air-sun.github.io/mars/)
- ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
- Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions - nerf2nerf.github.io/)
- UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields
- Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting
- ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization
- ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting
- 3D-aware Blending with Generative NeRFs
- Vox-E: Text-guided Voxel Editing of 3D Objects - vailab.github.io/Vox-E/)
- 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability
- Urban Radiance Field Representation with Deformable Neural Mesh Primitives
- DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields - ntu.com/project/deformtoon3d/)
- Learning Neural Implicit Surfaces with Object-Aware Radiance Fields
- X-Mesh:Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance - xiaoma666.github.io/Projects/X-Mesh/)
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
- Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
- Locally Stylized Neural Radiance Fields
- CC3D: Layout-Conditioned Generation of Compositional 3D Scenes
- IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
- Dynamic Mesh-Aware Radiance Fields - aware-rf.github.io/)
- Text2Tex: Text-driven Texture Synthesis via Diffusion Models
- Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models - to-room/)
- Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis - ted.github.io/publications/udc-nerf)
- Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields - 3d/)
- FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
- Reference-guided Controllable Inpainting of Neural Radiance Fields - guided-3d)
- Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior - it-3d.github.io/)
- SKED: Sketch-guided Text-based 3D Editing - paper.github.io/)
- MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos
- ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field
- Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views - NeRF)
- LatentSwap3D: Semantic Edits on 3D Image GANs
- S2RF: Semantically Stylized Radiance Fields
- CoRF : Colorizing Radiance Fields using Knowledge Distillation
- BluNF: Blueprint Neural Field
- Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields - nerf/)
- IntrinsicNGP: Intrinsic Coordinate based Hash Encoding for Human NeRF
- VQ-NeRF: Neural Reflectance Decomposition and Editing with Vector Quantization - NeRF.github.io/)
- UniSim: A Neural Closed-Loop Sensor Simulator
- Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
- DiffRF: Rendering-Guided 3D Radiance Field Diffusion
- Frequency-Modulated Point Cloud Rendering with Easy Editing
- Interactive Segmentation of Radiance Fields - goel.github.io/isrf/)
- NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds
- PaletteNeRF: Palette-based Color Editing for NeRFs
- SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
- Removing Objects From Neural Radiance Fields - object-removal/)
- EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points - zheng.github.io/EditableNeRF/)
- Local 3D Editing via 3D Distillation of CLIP Knowledge
- SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
- PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
- Magic3D: High-Resolution Text-to-3D Content Creation
- StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields - liu.github.io/StyleRF/)
- Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization - npr.github.io/)
- Multi-Object Manipulation via Object-Centric Neural Scattering Functions - tian.github.io/projects/actionosf/)
- UV Volumes for Real-time Rendering of Editable Free-view Human Performance - Volumes/)
- Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes - ai/fegr/)
- TexIR:Multi-view Inverse Rendering for Large-scale Real-world Indoor Scenes
- TensoIR: Tensorial Inverse Rendering - jin.github.io/TensoIR/)
- RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
- I_{2}-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs - sdf/)
- Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision - web/)
- NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-shot Real Image Animation
- FusedRF: Fusing Multiple Radiance Fields
- SPIDR: SDF-based Neural Point Fields for Illumination and Deformation
- DeSRF: Deformable Stylized Radiance Field
- General Neural Gauge Fields - Gauge-Fields/)
- Adaptive Shells for Efficient Neural Radiance Field Rendering - ai/adaptive-shells/)
- SeamlessNeRF: Stitching Part NeRFs with Gradient Propagation
- DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
- BakedAvatar: Baking Neural Fields for Real-Time Head Avatar Synthesis
- AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars - inf.mpg.de/projects/AvatarStudio/)
- SOL-NeRF: Sunlight Modeling for Outdoor Scene Decomposition and Relighting - NeRF/)
- Reconstructing Objects in-the-wild for Realistic Sensor Simulation
- Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
- One is All: Bridging the Gap Between Neural Radiance Fields Architectures with Progressive Volume Distillation - fun.fun/PVD/)
- Relit-NeuLF: Efficient Novel View Synthesis with Neural 4D Light Field - us-research.github.io/RelitNeuLF-website/)
- RecolorNeRF: Layer Decomposed Radiance Fields for Efficient Color Editing of 3D Scenes
- Context-Aware Talking-Head Video Editing
- RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
- TeSTNeRF: Text-Driven 3D Style Transfer via Cross-Modal Learning
- Breathing New Life into 3D Assets with Generative Repainting
- 3D GAN Inversion with Pose Optimization - inversion.github.io/)
- Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation - inf.mpg.de/control-nerf/)
- Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation
- Street Gaussians for Modeling Dynamic Urban Scenes
- SERF: Fine-Grained Interactive 3D Segmentation and Editing with Radiance Fields
- Efficient-NeRF2NeRF: Streamlining Text-Driven 3D Editing with Multiview Correspondence-Enhanced Diffusion Models
- SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds - chen.github.io/Shap-Editor/)
- LAENeRF: Local Appearance Editing for Neural Radiance Fields
- LatentEditor: Text Driven Local Editing of 3D Scenes
- DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes
- Learning Naturally Aggregated Appearance for Efficient 3D Editing
- Dynamic LiDAR Re-simulation using Compositional Neural Fields
- NeRFiller: Completing Scenes via Generative 3D Inpainting
- Towards 4D Human Video Stylization
- SANeRF-HQ: Segment Anything for NeRF in High Quality - HQ/)
- Segment Any 3D Gaussians
- Mesh-Guided Neural Implicit Field Editing
- Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training
- Text-Guided 3D Face Synthesis - From Generation to Editing
- Gaussian Grouping: Segment and Edit Anything in 3D Scenes - grouping/)
- Control4D: Efficient 4D Portrait Editing with Text
- Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields
- Posterior Distillation Sampling - distillation-sampling.github.io/)
- Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing - 3dv.github.io/projects/Relightable3DGaussian/)
- Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes
- Obj-NeRF: Extracting Object NeRFs from Multi-view Images
- GaussianEditor: Editing 3D Gaussians Delicately with Text Instructions
- GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting - editor/)
- PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
- DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields
- PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics
- SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering
- EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
- InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
- Neural Implicit Field Editing Considering Object-environment Interaction
- 4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields via 4D Semantic Segmentation - Editor/)
- ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context
- Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
- DreamSpace: Dreaming Your Room Space with Text-Driven Panoramic Texture Propagation
- A Real-time Method for Inserting Virtual Objects into Neural Radiance Fields
- Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints - room.github.io/)
- SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D
- ED-NeRF: Efficient Text-Guided Editing of 3D Scene using Latent Space NeRF - nerf.github.io/)
- Directional Texture Editing for 3D Models
- NeRRF: 3D Reconstruction and View Synthesis for Transparent and Specular Objects with Neural Refractive-Reflective Fields
- MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field
- Controllable Dynamic Appearance for Neural 3D Portraits
- Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates - conditioned-NeRF-object-fusion)
- Text-driven Editing of 3D Scenes without Retraining - fun.fun/DN2N/)
- Watch Your Steps: Local Image and Scene Editing by Text Instructions
- Focused Specific Objects NeRF
- Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields - e.github.io/)
- Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images - studio/)
- Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
- Instruct-NeuralTalker: Editing Audio-Driven Talking Radiance Fields with Instructions
- DORSal: Diffusion for Object-centric Representations of Scenes et al.
- UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
- PlaNeRF: SVD Unsupervised 3D Plane Regularization for NeRF Large-Scale Scene Reconstruction
- InNeRF360: Text-Guided 3D-Consistent Object Inpainting on Unbounded Neural Radiance Fields - wang.com/inpaintnerf360/)
- OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields
- Unsupervised Object-Centric Voxelization for Dynamic Scene Understanding
- NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation
- UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing
- PVD-AL: Progressive Volume Distillation with Active Learning for Efficient Conversion Between Different NeRF Architectures - fun.fun/PVD-AL)
- VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis
- CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
- TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images - nerf.github.io/)
- Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes - the-Scene/)
- Interactive Geometry Editing of Neural Radiance Fields
- MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field - WebPage/)
- LC-NeRF: Local Controllable Face Generation in Neural Randiance Field
- ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation
- Free-Editor: Zero-shot Text-driven 3D Scene Editing - editor.github.io/)
- Neural Shape Deformation Priors
- TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition - 3d.github.io/tango/)
- NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos
- Compressible-composable NeRF via Rank-residual Decomposition
- CageNeRF: Cage-based Neural Radiance Fields for Genrenlized 3D Deformation and Animation
- Decomposing NeRF for Editing via Feature Field Distillation - research.github.io/distilled-feature-fields/)
- SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections - samurai/)
- Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
- D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video
- MoFaNeRF: Morphable Facial Neural Radiance Field
- LaTeRF: Label and Text Driven Object Radiance Fields
- NeRF for Outdoor Scene Relighting - inf.mpg.de/NeRF-OSR/)
- Deforming Radiance Fields with Cages - nerf/)
- Object-Compositional Neural Implicit Surfaces
- ARF: Artistic Radiance Fields
- Unified Implicit Neural Stylization
- Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis
- PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo
- Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields
- NeRF-Editing: Geometry Editing of Neural Radiance Fields - Editing)
- CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields
- CoNeRF: Controllable Neural Radiance Fields
- Zero-Shot Text-Guided Object Generation with Dream Fields
- StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning
- AutoRF: Learning 3D Object Radiance Fields from Single View Observations
- Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
- RigNeRF: Fully Controllable Neural 3D Portraits
- NeRFReN: Neural Radiance Fields with Reflections
- Unsupervised Discovery of Object Radiance Fields
- Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing
- FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing
- Reconstructing Personalized Semantic Facial NeRF Models From Monocular Video
- Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
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