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  • SDFStudio: A Unified Framework for Surface Reconstruction
  • GeNVS: Generative Novel View Synthesis with 3D-Aware Diffusion Models
  • HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance - team/HiFA) | [bibtex](./citations/zhu2023hifa.txt)
  • FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow
  • K-Planes: Explicit Radiance Fields in Space, Time, and Appearance - Keil et al, CVPR 2023 | [github](https://github.com/sarafridov/K-Planes) | [bibtex](./citations/kplanes.txt)
  • HexPlane: A Fast Representation for Dynamic Scenes
  • Neural Scene Chronology
  • NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images - pal/NeRO) | [bibtex](./citations/liu2023nero.txt)
  • Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
  • Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field - Li/Lift3D) | [bibtex](./citations/lift3d.txt)
  • NeRF-Texture: Texture Synthesis with Neural Radiance Fields - Texture) | [bibtex](./citations/huang2023nerf-texture.txt)
  • ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects
  • Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields
  • ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs
  • Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation
  • AutoRecon: Automated 3D Object Discovery and Reconstruction
  • Towards Realistic Generative 3D Face Models - Realistic-Generative-3D-Face-Models/) | [bibtex](./citations/rai2023towards.txt)
  • ORCa: Glossy Objects as Radiance-Field Cameras
  • GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
  • Local Implicit Ray Function for Generalizable Radiance Field Representation
  • Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur - Lab/HybridNeuralRendering) | [bibtex](./citations/dai2023hybrid.txt)
  • ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting
  • TensoIR: Tensorial Inverse Rendering - Jin/TensoIR) | [bibtex](./citations/Jin2023TensoIR.txt)
  • Dynamic Point Fields
  • Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes - Bar et al., Arxiv 2023 | [github](https://github.com/DanaCohen95/Set-the-Scene) | [bibtex](./citations/setthescene.txt)
  • NeILF++: Inter-reflectable Light Fields for Geometry and Material Estimation - neilfpp) | [bibtex](./citations/neilfpp.txt)
  • PointAvatar: Deformable Point-based Head Avatars from Videos
  • Instant Volumetric Head Avatars
  • RealFusion: 360° Reconstruction of Any Object from a Single Image - Kyriazi et al., CVPR 2023 | [github](https://github.com/lukemelas/realfusion) | [bibtex](./citations/melaskyriazi2023realfusion.txt)
  • 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models
  • Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion
  • FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization - Yang/FreeNeRF) | [bibtex](./citations/freenerf.txt)
  • HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video
  • Explicit Correspondence Matching for Generalizable Neural Radiance Fields
  • Panoptic Lifting for 3D Scene Understanding with Neural Fields - lifting) | [bibtex](./citations/panopticlifting.txt)
  • NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views - Group/NeuralLift-360) | [bibtex](./citations/neuralLift.txt)
  • Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
  • DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
  • WildLight: In-the-wild Inverse Rendering with a Flashlight - cheng/WildLight) | [bibtex](./citations/wildlight.txt)
  • Factored Neural Representation for Scene Understanding
  • L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields - xingyu/L2G-NeRF) | [bibtex](./citations/l2gnerf.txt)
  • NeRF-Factory: An awesome PyTorch NeRF collection
  • Removing Objects From Neural Radiance Fields - object-removal) | [bibtex](./citations/weder2023removing.txt)
  • DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model - nerf-code) | [bibtex](./citations/ditto.txt)
  • StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views - ADG/neuralsim) | [bibtex](./citations/guo2023streetsurf.txt)
  • I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs - sdf) | [bibtex](./citations/i2sdf.txt)
  • Reference-guided Controllable Inpainting of Neural Radiance Fields
  • NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads - kirschstein/nersemble) | [bibtex](./citations/kirschstein2023nersemble.txt)
  • HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
  • Online Learning of Neural Surface Light Fields alongside Real-time Incremental 3D Reconstruction - OL) | [bibtex](./citations/yuan2023online.txt)
  • UV Volumes for Real-time Rendering of Editable Free-view Human Performance - Volumes) | [bibtex](./citations/uvvolumes.txt)
  • PermutoSDF: Fast Multi-View Reconstruction withImplicit Surfaces using Permutohedral Lattices
  • SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes
  • Real-Time Neural Light Field on Mobile Devices - research/MobileR2L) | [bibtex](./citations/mobiler2l.txt)
  • DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation - CVLAB/DaRF) | [bibtex](./citations/song2023darf.txt)
  • ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis
  • Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data - diffusion) | [bibtex](./citations/szymanowicz2023viewset.txt)
  • DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors - NeRF) | [bibtex](./citations/dpnerf.txt)
  • Articulated Object Neural Radiance Field
  • AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation - yifei/AvatarBooth) | [bibtex](./citations/zeng2023avatarbooth.txt)
  • FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
  • NeRFahedron: A Primitive for Animatable Neural Rendering with Interactive Speed
  • AutoDecoding Latent 3D Diffusion Models - research/3DVADER) | [bibtex](./citations/ntavelis2023_3DVADER.txt)
  • PAPR: Proximity Attention Point Rendering
  • MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving - AIR-SUN/mars) | [bibtex](./citations/wu2023mars.txt)
  • Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Field - 3d/) | [bibtex](./citations/wang2023seal3d.txt)
  • Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF
  • Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing - NeRF/) | [bibtex](./citations/zeng2023mirror-nerf.txt)
  • MVPSNet: Fast Generalizable Multi-view Photometric Stereo
  • Digging into Depth Priors for Outdoor Neural Radiance Fields - nerf-depth) | [bibtex](./citations/wang2023digging.txt)
  • NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
  • From NeRFLiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm
  • TeCH: Text-guided Reconstruction of Lifelike Clothed Humans
  • DReg-NeRF: Deep Registration for Neural Radiance Fields - NeRF) | [bibtex](./citations/chen2023dreg.txt)
  • Strata-NeRF: Neural Radiance Fields for Stratified Scenes
  • Canonical Factors for Hybrid Neural Fields
  • ResFields: Residual Neural Fields for Spatiotemporal Signals
  • Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion - e-nerf) | [bibtex](./citations/low2023_robust-e-nerf.txt)
  • NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection - Det) | [bibtex](./citations/xu2023nerfdet.txt)
  • Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes
  • Self-Evolving Neural Radiance Fields - CVLAB/SE-NeRF) | [bibtex](./citations/jung2023selfevolving.txt)
  • CorresNeRF: Image Correspondence Priors for Neural Radiance Fields - nerf) | [bibtex](./citations/lao2023corresnerf.txt)
  • SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction - Zhang/SIFU) | [bibtex](./citations/zhang2023sifu.txt)
  • ProNeRF: Learning Efficient Projection-Aware Ray Sampling for Fine-Grained Implicit Neural Radiance Fields - VICLab) | [bibtex](./citations/bello2023pronerf.txt)
  • OccNeRF: Self-Supervised Multi-Camera Occupancy Prediction with Neural Radiance Fields - Bin/OccNeRF) | [bibtex](./citations/chubin2023occnerf.txt)
  • Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption - NeRF) | [bibtex](./citations/cui2024alethnerf.txt)
  • CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs
  • Style-NeRF2NeRF: 3D Style Transfer from Style-Aligned Multi-View Images
  • RS-NeRF: Neural Radiance Fields from Rolling Shutter Images - NeRF) | [bibtex](./citations/niu2024rs.txt)
  • Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering
  • 1-Lipschitz Neural Distance Fields
  • KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter
  • SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization - cyy/SG-NeRF) | [bibtex](./citations/chen2024sg.txt)
  • BoostMVSNeRFs: Boosting MVS-based NeRFs to Generalizable View Synthesis in Large-scale Scenes - Terry/BoostMVSNeRFs) | [bibtex](./citations/su2024boostmvsnerfs.txt)
  • ReplaceAnything3D:Text-Guided 3D Scene Editing with Compositional Neural Radiance Fields
  • Nerfstudio: A Modular Framework for Neural Radiance Field Development - project/nerfstudio/) | [bibtex](./citations/nerfstudio.txt)
  • NerfAcc: A General NeRF Acceleration Toolbox - BAIR/nerfacc) | [bibtex](./citations/li2023nerfacc.txt)
  • NeRFs: The Search for the Best 3D Representation
  • Objaverse-XL: A Universe of 10M+ 3D Objects
  • LERF: Language Embedded Radiance Fields
  • Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs
  • MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes - research/google-research/tree/master/merf) | [bibtex](./citations/merf.txt)
  • BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
  • Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping
  • SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
  • CamP: Camera Preconditioning for Neural Radiance Fields
  • Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields - austin/zipnerf-nerfstudio) | [bibtex](./citations/zipnerf.txt)
  • NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
  • Factor Fields and Beyond - fields)
  • Live 3D Portrait: Real-Time Radiance Fields for Single-Image Portrait View Synthesis
  • NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors
  • SSIF: Single-shot Implicit Morphable Faces with Consistent Texture Parameterization
  • Learning a Diffusion Prior for NeRFs
  • Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision
  • Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions - nerf2nerf) | [bibtex](./citations/instructnerf2023.txt)
  • GINA-3D: Learning to Generate Implicit Neural Assets in the Wild
  • DreamBooth3D: Subject-Driven Text-to-3D Generation
  • Shap-E: Generating Conditional 3D Implicit Functions - e) | [bibtex](./citations/jun2023shap.txt)
  • Neural Lens Modeling
  • DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
  • ATT3D: Amortized Text-To-3D Object Synthesis
  • Neural Kernel Surface Reconstruction - tlabs/nksr) | [bibtex](./citations/huang2023nksr.txt)
  • Neuralangelo: High-Fidelity Neural Surface Reconstruction
  • Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis
  • F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories - nerf) | [bibtex](./citations/f2nerf.txt)
  • NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support
  • Neural Spline Fields for Burst Image Fusion and Layer Separation - computational-imaging/NSF) | [bibtex](./citations/chugunov2023nsf.txt)
  • PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
  • Compact Neural Graphics Primitives with Learned Hash Probing
  • Strivec: Sparse Tri-Vector Radiance Fields
  • MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses
  • Neural Free-Viewpoint Relighting for Glossy Indirect Illumination
  • SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
  • Progressively Optimized Local Radiance Fields for Robust View Synthesis
  • Seeing the World through Your Eyes
  • Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient
  • DreamHuman: Animatable 3D Avatars from Text
  • Generalizable One-shot Neural Head Avatar
  • UniSim: A Neural Closed-Loop Sensor Simulator
  • Grid-guided Neural Radiance Fields for Large Urban Scenes
  • SUDS: Scalable Urban Dynamic Scenes
  • Neural LiDAR Fields for Novel View Synthesis
  • NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models
  • AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
  • RoDynRF: Robust Dynamic Radiance Fields - dynrf) | [bibtex](./citations/liu2023robust.txt)
  • LANe : Lighting-Aware Neural Fields for Compositional Scene Synthesis
  • Random-Access Neural Compression of Material Textures
  • Neural Prefiltering for Correlation-Aware Levels of Detail
  • DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models - 2023-diffusionerf.txt)
  • SeaThru-NeRF: Neural Radiance Fields in Scattering Media
  • Semantic-Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention - Ray) | [bibtex](./citations/liu2023semantic.txt)
  • SPARF: Neural Radiance Fields from Sparse and Noisy Poses - research/sparf) | [bibtex](./citations/sparf2023.txt)
  • Compressing Volumetric Radiance Fields to 1 MB
  • Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis - Recon) | [bibtex](./citations/song2023totalrecon.txt)
  • DynIBaR: Neural Dynamic Image-Based Rendering
  • 3D Gaussian Splatting for Real-Time Radiance Field Rendering
  • Real-Time Neural Appearance Models
  • Pointersect: Neural Rendering with Cloud-Ray Intersection - pointersect) | [bibtex](./citations/pointersect.txt)
  • TextMesh: Generation of Realistic 3D Meshes From Text Prompts
  • AutoNeRF: Training Implicit Scene Representations with Autonomous Agents
  • ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation - ml/prolificdreamer) | [bibtex](./citations/wang2023prolificdreamer.txt)
  • Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
  • ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering
  • HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
  • Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction
  • DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization
  • SPIDR: SDF-based Neural Point Fields for Illumination and Deformation
  • Patch-based 3D Natural Scene Generation from a Single Example - 98/Sin3DGen) | [bibtex](./citations/weiyu23sin3dgen.txt)
  • 3D Neural Field Generation using Triplane Diffusion
  • SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction
  • Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM - SLAM) | [bibtex](./citations/wang2023coslam.txt)
  • Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
  • Multiview Compressive Coding for 3D Reconstruction
  • NeRF-Supervised Deep Stereo - Supervised-Deep-Stereo) | [bibtex](./citations/nerfstereo.txt)
  • SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
  • NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes
  • Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
  • One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization - 2-3-45/One-2-3-45) | [bibtex](./citations/liu2023one2345.txt)
  • Zero-1-to-3: Zero-shot One Image to 3D Object - columbia/zero123) | [bibtex](./citations/zero123.txt)
  • Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
  • Factor Fields: A Unified Framework for Neural Fields and Beyond
  • Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization - research/Ref-NPR/) | [bibtex](./citations/zhang2023refnpr.txt)
  • TUVF : Learning Generalizable Texture UV Radiance Fields
  • Super-NeRF: View-consistent Detail Generation for NeRF super-resolution
  • Chat with NeRF: Grounding 3D Objects in Neural Radiance Field through Dialog - group/chat-with-nerf) | [bibtex](./citations/chat.txt)
  • Segment Anything in 3D with NeRFs
  • Self-supervised Learning by View Synthesis
  • SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields - NeRF) | [bibtex](./citations/spinnerf.txt)
  • Neural Radiance Fields: Past, Present, and Future
  • HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
  • Instance Neural Radiance Field
  • Flow Supervision for Deformable NeRF
  • DyLiN: Making Light Field Networks Dynamic
  • Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection - NeuS) | [bibtex](./citations/refneus.txt)
  • Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container
  • PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification - li/PAC-NeRF) | [bibtex](./citations/pacnerf.txt)
  • NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
  • BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
  • ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field - nerf) | [bibtex](./citations/tang2023able.txt)
  • FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models
  • Learning to Render Novel Views from Wide-Baseline Stereo Pairs
  • Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields - ivl/Cafi-Net) | [bibtex](./citations/agaram2023_cafinet.txt)
  • Neural Volumetric Memory for Visual Locomotion Control
  • NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects - DS) | [bibtex](./citations/nerfds.txt)
  • CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout
  • TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images
  • Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement
  • NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior - nerf) | [bibtex](./citations/nopenerf.txt)
  • NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
  • Implicit Neural Head Synthesis via Controllable Local Deformation Fields - implicit_head.txt)
  • EventNeRF: Neural Radiance Fields from a Single Colour
  • PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
  • Radiance Field Gradient Scaling for Unbiased Near-Camera Training
  • Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models
  • InpaintNeRF360: Text-Guided 3D Inpainting on Unbounded Neural Radiance Fields
  • OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields
  • Evaluate Geometry of Radiance Field with Low-frequency Color Prior
  • VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization - NeRF) | [bibtex](./citations/vdn.txt)
  • Behind the Scenes: Density Fields for Single View Reconstruction
  • NeRFshop: Interactive Editing of Neural Radiance Fields - inria/nerfshop) | [bibtex](./citations/nerfshop.txt)
  • Neural Microfacet Fields for Inverse Rendering - potato/nmf) | [bibtex](./citations/nmf.txt)
  • PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces - wang/PET-NeuS) | [bibtex](./citations/wang2023petneus.txt)
  • NeRFuser: Large-Scale Scene Representation by NeRF Fusion
  • Registering Neural Radiance Fields as 3D Density Images
  • TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
  • AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control
  • LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar
  • AvatarReX: Real-time Expressive Full-body Avatars
  • DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance
  • Unsupervised Object-Centric Voxelization for Dynamic Scene Understanding
  • ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields - NeRF) | [bibtex](./citations/vipnerf.txt)
  • General Neural Gauge Fields
  • MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Field
  • Re-ReND: Real-time Rendering of NeRFs across Devices
  • Learning Neural Volumetric Representations of Dynamic Humans in Minutes
  • FusedRF: Fusing Multiple Radiance Fields
  • Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields
  • Neural Implicit Dense Semantic SLAM
  • Point-SLAM: Dense Neural Point Cloud-based SLAM - SLAM) | [bibtex](./citations/pointslam.txt)
  • Decoupling Dynamic Monocular Videos for Dynamic View Synthesis
  • Neural Field Convolutions by Repeated Differentiation
  • HQ3DAvatar: High Quality Controllable 3D Head Avatar
  • FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
  • Enhanced Stable View Synthesis
  • S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces
  • Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
  • Multi-Space Neural Radiance Fields - Yin/ms-nerf) | [bibtex](./citations/yin2023msnerf.txt)
  • Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra - nerf/) | [bibtex](./citations/tetra.txt)
  • Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
  • Instant Neural Radiance Fields Stylization
  • MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table
  • NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
  • Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation - Lab-SCUT/Fantasia3D) | [bibtex](./citations/chen2023fantasia3d.txt)
  • Template-free Articulated Neural Point Clouds for Reposable View Synthesis - Point-NeRF) | [bibtex](./citations/uzolas2023template.txt)
  • Volume Feature Rendering for Fast Neural Radiance Field Reconstruction
  • Compact Real-time Radiance Fields with Neural Codebook
  • Towards a Robust Framework for NeRF Evaluation
  • Multi-Object Navigation with dynamically learned neural implicit representations
  • OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields - nerf) | [bibtex](./citations/yin2023ornerf.txt)
  • VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs
  • Temporal Interpolation is All You Need for Dynamic Neural Radiance Fields
  • FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM
  • ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields
  • LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs
  • AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Pose
  • H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation - STAR/H2-Mapping) | [bibtex](./citations/jiang2023h2.txt)
  • Binary Radiance Fields
  • NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering
  • UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
  • Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar
  • Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model
  • Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase
  • Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training
  • Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields
  • DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation
  • DreamEditor: Text-Driven 3D Scene Editing with Neural Fields
  • Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving
  • NeuBTF: Neural Fields for BTF Encoding and Transfer - Pardo et al., Computer & Graphics 2023 | [bibtex](./citations/rodriguezpardo2023NeuBTF.txt)
  • Hybrid Neural Diffeomorphic Flow for Shape Representation and Generation via Triplane
  • Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
  • NOFA: NeRF-based One-shot Facial Avatar Reconstruction
  • RGB-D Mapping and Tracking in a Plenoxel Radiance Field
  • HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
  • Surface Geometry Processing: An Efficient Normal-based Detail Representation
  • Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction
  • Magic NeRF Lens: Interactive Fusion of Neural Radiance Fields for Virtual Facility Inspection
  • Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields - MipRF) | [bibtex](./citations/hu2023Tri-MipRF.txt)
  • CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields
  • FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields
  • Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields
  • Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation
  • Weakly Supervised Multi-Modal 3D Human Body Pose Estimation for Autonomous Driving
  • Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF)
  • Onboard View Planning of a Flying Camera for High Fidelity 3D Reconstruction of a Moving Actor
  • HD-Fusion: Detailed Text-to-3D Generation Leveraging Multiple Noise Estimation
  • Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis
  • 3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Neural Fields
  • Cloth2Tex: A Customized Cloth Texture Generation Pipeline for 3D Virtual Try-On
  • VERF: Runtime Monitoring of Pose Estimation with Neural Radiance Fields
  • MagicPony: Learning Articulated 3D Animals in the Wild
  • Color-NeuS: Reconstructing Neural Implicit Surfaces with Color - zlicheng/Color-NeuS) | [bibtex](./citations/zhong2023colorneus.txt)
  • Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
  • SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes
  • DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field
  • Relightable and Animatable Neural Avatar from Sparse-View Video
  • Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstructio
  • MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR
  • MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
  • Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior - It-3D) | [bibtex](./citations/tang2023makeit3d.txt)
  • Renderable Neural Radiance Map for Visual Navigation - snu/RNR-Map) | [bibtex](./citations/Kwon_2023_CVPR.txt)
  • LiveHand: Real-time and Photorealistic Neural Hand Rendering
  • TADA! Text to Animatable Digital Avatars
  • Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields
  • Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts
  • NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes - irshad/NeO-360) | [bibtex](./citations/irshad2023neo360.txt)
  • NeuralClothSim: Neural Deformation Fields Meet the Kirchhoff-Love Thin Shell Theory
  • NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects
  • Relighting Neural Radiance Fields with Shadow and Highlight Hints
  • Flexible Techniques for Differentiable Rendering with 3D Gaussians - plus) | [bibtex](./citations/keselman2023fuzzyplus.txt)
  • CLNeRF: Continual Learning Meets NeRF
  • CityDreamer: Compositional Generative Model of Unbounded 3D Cities - dreamer) | [bibtex](./citations/xie2023citydreamer.txt)
  • Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments
  • S2RF: Semantically Stylized Radiance Fields
  • Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization
  • ImmersiveNeRF: Hybrid Radiance Fields for Unbounded Immersive Light Field Reconstruction
  • Instant Continual Learning of Neural Radiance Fields
  • Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
  • Single View Refractive Index Tomography with Neural Fields
  • DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields
  • EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
  • Dynamic Mesh-Aware Radiance Fields
  • DynaMoN: Motion-Aware Fast And Robust Camera Localization for Dynamic NeRF
  • Locally Stylized Neural Radiance Fields
  • PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
  • DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion
  • Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation
  • PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction
  • S4C: Self-Supervised Semantic Scene Completion with Neural Fields
  • LightSpeed: Light and Fast Neural Light Fields on Mobile Devices - r2l/lightspeed) | [bibtex](./citations/anonymous2023lightspeed.txt)
  • PERF: Panoramic Neural Radiance Field from a Single Panorama - project/PeRF) | [bibtex](./citations/perf2023.txt)
  • LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields
  • SIRe-IR: Inverse Rendering for BRDF Reconstruction with Shadow and Illumination Removal in High-Illuminance Scenes
  • Reconstructive Latent-Space Neural Radiance Fields for Efficient 3D Scene Representations - Armstrong et al., Arxiv 2023 | [bibtex](./citations/aumentado2023reconstructive.txt)
  • Novel View Synthesis from a Single RGBD Image for Indoor Scenes
  • DynPoint: Dynamic Neural Point For View Synthesis
  • InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
  • VR-NeRF: High-Fidelity Virtualized Walkable Spaces
  • Real-Time Neural Rasterization for Large Scenes
  • ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image
  • Adaptive Shells for Efficient Neural Radiance Field Rendering
  • D3GA - Drivable 3D Gaussian Avatars
  • EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction on Mobile Devices
  • Rethinking Directional Integration in Neural Radiance Fields
  • Re-Nerfing: Enforcing Geometric Constraints on Neural Radiance Fields through Novel Views Synthesis
  • Dynamic LiDAR Re-simulation using Compositional Neural Fields - eth/Dynamic-LiDAR-Resimulation/tree/master?tab=readme-ov-file) | [bibtex](./citations/Wu2023dynfl.txt)
  • Neural Lighting Simulation for Urban Scenes
  • MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
  • PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields
  • Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images - Zhan/Pano-NeRF) | [bibtex](./citations/lu2023pano.txt)
  • Diffusion Priors for Dynamic View Synthesis from Monocular Videos
  • InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
  • ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process
  • GARField: Group Anything with Radiance Fields
  • Single-View 3D Human Digitalization with Large Reconstruction Models
  • Scaling Face Interaction Graph Networks to Real World Scenes - Guevara et al., Arxiv 2024 | [bibtex](./citations/lopez2024scaling.txt)
  • VF-NeRF: Learning Neural Vector Fields for Indoor Scene Reconstruction
  • SSNeRF: Sparse View Semi-supervised Neural Radiance Fields with Augmentation
  • TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks - Mai/traf_public) | [bibtex](./citations/mai2024tracknerf.txt)
  • Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations
  • Sampling for View Synthesis: From Local Light Field Fusion to Neural Radiance Fields and Beyond
  • EDUS: Efficient Depth-Guided Urban View Synthesis
  • ActiveNeRF: Learning Accurate 3D Geometry by Active Pattern Projection
  • GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning
  • Spurfies: Sparse Surface Reconstruction using Local Geometry Priors
  • Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
  • Neural Rendering based Urban Scene Reconstruction for Autonomous Driving
  • OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding
  • NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
  • NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields - irshad/NeRF-MAE) | [bibtex](./citations/nerf-mae.txt)
  • Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?
  • Vosh: Voxel-Mesh Hybrid Representation for Real-Time View Synthesis
  • The NeRFect Match: Exploring NeRF Features for Visual Localization
  • Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation
  • InterNeRF: Scaling Radiance Fields via Parameter Interpolation
  • DATENeRF: Depth-Aware Text-based Editing of NeRFs
  • NeRF-XL: Scaling NeRFs with Multiple GPUs
  • HaLo-NeRF: Learning Geometry-Guided Semantics for Exploring Unconstrained Photo Collections - VAILab/HaLo-NeRF) | [bibtex](./citations/dudai2024halonerf.txt)
  • DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features
  • MIRReS: Multi-bounce Inverse Rendering using Reservoir Sampling
  • ZeroRF: Fast Sparse View 360° Reconstruction with Zero Pretraining
  • Lightplane: Highly-Scalable Components for Neural 3D Fields
  • α Surf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity
  • NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections
  • OpenNeRF: OpenSet 3D Neural Scene Segmentation with Pixel-wise Features and Rendered Novel Views
  • Relighting Scenes with Object Insertions in Neural Radiance Fields
  • Crowd-Sourced NeRF: Collecting Data from Production Vehicles for 3D Street View Reconstruction