A curated list of awesome scene representation(NeRFs) papers, code, and resources.
- Nerfstudio: A Modular Framework for Neural Radiance Field Development, Tancik et al., SIGGRAPH 2023 | github | bibtex
- NerfAcc: A General NeRF Acceleration Toolbox, Li et al., Arxiv 2023 | github | bibtex
- LERF: Language Embedded Radiance Fields, Kerr et al., Arxiv 2023 | github | bibtex
- Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs, Warburg et al., Arxiv 2023 | github | bibtex
- MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes, Reiser et al., SIGGRAPH 2023 | github | bibtex
- BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis, Yariv et al., Arxiv 2023 | bibtex
- Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields, Barron et al., Arxiv 2023 | bibtex
- NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis, Zhou et al., CVPR 2023 | bibtex
- Live 3D Portrait: Real-Time Radiance Fields for Single-Image Portrait View Synthesis, Trevithick et al., SIGGRAPH 2023 | bibtex
- GeNVS: Generative Novel View Synthesis with 3D-Aware Diffusion Models, Chan et al., Arxiv 2023 | github | bibtex
- NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors, Deng et al., CVPR 2023 | bibtex
- SSIF: Single-shot Implicit Morphable Faces with Consistent Texture Parameterization, Lin et al., SIGGRAPH 2023 | bibtex
- Learning a Diffusion Prior for NeRFs, Yang et al., Arxiv 2023 | bibtex
- Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision, Zhang et al., CVPR 2023 | bibtex
- Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions, Haque et al., Arxiv 2023 | github | bibtex
- GINA-3D: Learning to Generate Implicit Neural Assets in the Wild, Shen et al., CVPR 2023 | bibtex
- DreamBooth3D: Subject-Driven Text-to-3D Generation, Raj et al., Arxiv 2023 | bibtex
- Shap-E: Generating Conditional 3D Implicit Functions, Jun et al., Arxiv 2023 | github | bibtex
- Neural Lens Modeling, Xian et al., CVPR 2023 | bibtex
- DeLiRa: Self-Supervised Depth, Light, and Radiance Fields, Guizilini et al., Arxiv 2023 | bibtex
- ATT3D: Amortized Text-To-3D Object Synthesis, Lorraine et al., Arxiv 2023 | bibtex
- HiFA: High-fidelity Text-to-3D with Advanced Diffusion Guidance, Zhu et al., Arxiv 2023 | github | bibtex
- FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow, Smith et al., Arxiv 2023 | github
- Neural Kernel Surface Reconstruction, Huang et al., CVPR 2023 | github | bibtex
- Neuralangelo: High-Fidelity Neural Surface Reconstruction, Li et al., CVPR 2023 | bibtex
- F2-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories, Wang et al., CVPR 2023 | github | bibtex
- NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support, Wei et al., Arxiv 2023 | bibtex
- SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates, Uy et al., CVPR 2023 | bibtex
- Progressively Optimized Local Radiance Fields for Robust View Synthesis, Meuleman et al., CVPR 2023 | github | bibtex
- Seeing the World through Your Eyes, Alzayer et al., Arxiv 2023 | bibtex
- Neural Relighting with Subsurface Scattering by Learning the Radiance Transfer Gradient, Zhu et al., Arxiv 2023 | bibtex
- DreamHuman: Animatable 3D Avatars from Text, Kolotouros et al., Arxiv 2023 | bibtex
- Generalizable One-shot Neural Head Avatar, Li et al., Arxiv 2023 | bibtex
- UniSim: A Neural Closed-Loop Sensor Simulator, Yang et al., CVPR 2023 | bibtex
- Grid-guided Neural Radiance Fields for Large Urban Scenes, Xu et al., CVPR 2023 | bibtex
- K-Planes: Explicit Radiance Fields in Space, Time, and Appearance, Fridovich-Keil et al, CVPR 2023 | github | bibtex
- HexPlane: A Fast Representation for Dynamic Scenes, Cao et al., CVPR 2023 | github | bibtex
- Neural Scene Chronology, Lin et al., CVPR 2023 | github | bibtex
- SUDS: Scalable Urban Dynamic Scenes, Turki et al., CVPR 2023 | github | bibtex
- Neural LiDAR Fields for Novel View Synthesis, Huang et al., Arxiv 2023 | bibtex
- NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models, Kim et al., CVPR 2023 | bibtex
- AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training, Jiang et al., CVPR 2023 | bibtex
- RoDynRF: Robust Dynamic Radiance Fields, Liu et al., CVPR 2023 | bibtex
- NeRO: Neural Geometry and BRDF Reconstruction of Reflective Objects from Multiview Images, Liu et al., SIGGRAPH 2023 | github | bibtex
- LANe : Lighting-Aware Neural Fields for Compositional Scene Synthesis, Krishnan et al., Arxiv 2023 | bibtex
- Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes, Wang et al., CVPR 2023 | bibtex
- Random-Access Neural Compression of Material Textures, Vaidyanathan et al., SIGGRAPH 2023 | bibtex
- Neural Prefiltering for Correlation-Aware Levels of Detail, Weier et al., SIGGRAPH 2023 | github
- Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field, Li et al., CVPR 2023 | github | bibtex
- NeRF-Texture: Texture Synthesis with Neural Radiance Fields, Huang et al., SIGGRAPH 2023 | github | bibtex
- ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects, Toschi et al., CVPR 2023 | bibtex
- DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models, Wynn et al., CVPR 2023 | github | bibtex
- SeaThru-NeRF: Neural Radiance Fields in Scattering Media, Levy et al., CVPR 2023 | bibtex
- Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance Fields, Zhang et al., Arxiv 2023 | github | bibtex
- Semantic-Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention, Liu et al., CVPR 2023 | github | bibtex
- SPARF: Neural Radiance Fields from Sparse and Noisy Poses, Truong et al., CVPR 2023 | github | bibtex
- ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs, Mu et al., Arxiv 2023 | bibtex
- Compressing Volumetric Radiance Fields to 1 MB, Li et al., CVPR 2023 | github | bibtex
- AutoRecon: Automated 3D Object Discovery and Reconstruction, Wang et al., CVPR 2023 | github | bibtex
- Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis, Song et al., Arxiv 2023 | github | bibtex
- DynIBaR: Neural Dynamic Image-Based Rendering, Li et al., CVPR 2023 | github | bibtex
- 3D Gaussian Splatting for Real-Time Radiance Field Rendering, Kerbl et al., SIGGRAPH 2023 | github | bibtex
- Real-Time Neural Appearance Models, Zeltner et al., Arxiv 2023 | bibtex
- Towards Realistic Generative 3D Face Models, Rai et al., Arxiv 2023 | github | bibtex
- Pointersect: Neural Rendering with Cloud-Ray Intersection, Chang et al., CVPR 2023 | github | bibtex
- ORCa: Glossy Objects as Radiance-Field Cameras, Tiwary et al., CVPR 2023 | github | bibtex
- GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields, Roessle, et al., Arxiv 2023 | bibtex
- TextMesh: Generation of Realistic 3D Meshes From Text Prompts, Tsalicoglou et al., Arxiv 2023 | bibtex
- Local Implicit Ray Function for Generalizable Radiance Field Representation, Huang et al., CVPR 2023 | github | bibtex
- AutoNeRF: Training Implicit Scene Representations with Autonomous Agents, Marza et al., Arxiv 2023 | bibtex
- Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur, Dai et al., CVPR 2023 | github | bibtex
- ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation, Wang et al., Arxiv 2023 | github | bibtex
- Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping, Ma et al., ICML 2023 | github | bibtex
- ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering, Ramazzina et al., Arxiv 2023 | bibtex
- HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork, Sen et al., Arxiv 2023 | bibtex
- Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction, Sklyarova et al., Arxiv 2023 | bibtex
- DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization, Vora et al., Arxiv 2023 | bibtex
- ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting, Liang et al., Arxiv 2023 | github | bibtex
- SPIDR: SDF-based Neural Point Fields for Illumination and Deformation, Liang et al., Arxiv 2023 | github | bibtex
- TensoIR: Tensorial Inverse Rendering, Jin et al., CVPR 2023 | github | bibtex
- Patch-based 3D Natural Scene Generation from a Single Example, Li et al., CVPR 2023 | github | bibtex
- 3D Neural Field Generation using Triplane Diffusion, Shue et al., CVPR 2023 | github | bibtex
- Dynamic Point Fields, Prokudin et al., Arxiv 2023 | bibtex
- SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction, Zhou et al., CVPR 2023 | github | bibtex
- Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM, Wang et al., CVPR 2023 | github | bibtex
- Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes, Cohen-Bar et al., Arxiv 2023 | github | bibtex
- Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields, Hu et al., Arxiv 2023 | bibtex
- Multiview Compressive Coding for 3D Reconstruction, Wu et al., CVPR 2023 | github | bibtex
- NeRF-Supervised Deep Stereo, Tosi et al., CVPR 2023 | github | bibtex
- NeILF++: Inter-reflectable Light Fields for Geometry and Material Estimation, Zhang et al., Arxiv 2023 | bibtex
- SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis, Wang et al., Arxiv 2023 | github | bibtex
- NeRFMeshing: Distilling Neural Radiance Fields into Geometrically-Accurate 3D Meshes, Rakotosaona et al., Arxiv 2023 | bibtex
- Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion, Wang et al., CVPR 2023 | bibtex
- PointAvatar: Deformable Point-based Head Avatars from Videos, Zheng et al., CVPR 2023 | github | bibtex
- Instant Volumetric Head Avatars, Zielonka et al., CVPR 2023 | github | bibtex
- Zero-1-to-3: Zero-shot One Image to 3D Object, Liu et al., Arxiv 2023 | github | bibtex
- RealFusion: 360° Reconstruction of Any Object from a Single Image, Melas-Kyriazi et al., CVPR 2023 | github | bibtex
- 3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models, Zhang et al., SIGGRAPH 2023 | github | bibtex
- Factor Fields: A Unified Framework for Neural Fields and Beyond, Chen et al., Arxiv 2023 | bibtex
- Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization, Zhang et al.,CVPR 2023 | github | bibtex
- Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion, Kamata et al., Arxiv 2023 | bibtex
- FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization, Yang et al., CVPR 2023 | github | bibtex
- TUVF : Learning Generalizable Texture UV Radiance Fields, Cheng et al., Arxiv 2023 | github | bibtex
- Super-NeRF: View-consistent Detail Generation for NeRF super-resolution, Han et al., TPAMI 2023 | bibtex
- Chat with NeRF: Grounding 3D Objects in Neural Radiance Field through Dialog, Yang et al, Arxiv 2023 | github | bibtex
- Segment Anything in 3D with NeRFs, Cen et al., Arxiv 2023 | github | bibtex
- HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video, Liu et al., Arxiv 2023 | bibtex
- Explicit Correspondence Matching for Generalizable Neural Radiance Fields, Chen et al., CVPR 2023 | github | bibtex
- Self-supervised Learning by View Synthesis, Liu et al., Arxiv 2023 | bibtex
- SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields, Mirzaei et al., CVPR 2023 | github | bibtex
- Neural Radiance Fields: Past, Present, and Future, Mittal, Arxiv 2023 | bibtex
- HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling, Attal et al., CVPR 2023 | github | bibtex
- Panoptic Lifting for 3D Scene Understanding with Neural Fields, Siddiqui et al., CVPR 2023 | github | bibtex
- Instance Neural Radiance Field, Hu et al., Arxiv 2023 | bibtex
- Flow Supervision for Deformable NeRF, Wang et al., Arxiv 2023 | bibtex
- DyLiN: Making Light Field Networks Dynamic, Yu et al., CVPR 2023 | github | bibtex
- NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views, Xu et al., Arxiv 2023 | github | bibtex
- Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection, Ge et al., Arxiv 2023 | github | bibtex
- Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container, Tong et al., CVPR 2023 | github | bibtex
- PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification, Li et al., ICLR 2023 | github | bibtex
- NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields, Zhang et al., Arxiv 2023 | bibtex
- BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects, Wen et al., CVPR 2023 | bibtex
- ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field, Tang et al., CVPR 2023 | bibtex
- FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models, Ye et al., Arxiv 2023 | bibtex
- Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction, Chen et al., Arxiv 2023 | github | bibtex
- Learning to Render Novel Views from Wide-Baseline Stereo Pairs, Du et al., CVPR 2023 | github | bibtex
- Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields, Agaram et al., CVPR 2023 | github | bibtex
- Neural Volumetric Memory for Visual Locomotion Control, Yang et al., CVPR 2023 | bibtex
- DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields, Yu et al., CVPR 2023 | github | bibtex
- NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects, Yang et al., CVPR 2023 | github | bibtex
- WildLight: In-the-wild Inverse Rendering with a Flashlight, Chen, et al., CVPR 2023 | github | bibtex
- CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout, Lin et al., Arxiv 2023 | bibtex
- TEGLO: High Fidelity Canonical Texture Mapping from Single-View Images, Vinod et al., Arxiv 2023 | bibtex
- Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement, Tang et al., Arxiv 2023 | github | bibtex
- NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior, Bian et al., CVPR 2023 | github | bibtex
- NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion, Gu et al., ICML 2023 | bibtex
- α Surf: Implicit Surface Reconstruction for Semi-Transparent and Thin Objects with Decoupled Geometry and Opacity, Wu et al., Arxiv 2023 | bibtex
- Implicit Neural Head Synthesis via Controllable Local Deformation Fields, Chen et al., CVPR 2023 | bibtex
- EventNeRF: Neural Radiance Fields from a Single Colour, Rudnev et al., CVPR 2023 | bibtex
- Factored Neural Representation for Scene Understanding, Wong et al., Arxiv 2023 | github | bibtex
- PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering, Yan et al., CVPR 2023 | github | bibtex
- L2G-NeRF: Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields, Chen et al., CVPR 2023 | github | bibtex
- Radiance Field Gradient Scaling for Unbiased Near-Camera Training, Philip et al., Arxiv 2023 | bibtex
- NeRF-Factory: An awesome PyTorch NeRF collection
- Deceptive-NeRF: Enhancing NeRF Reconstruction using Pseudo-Observations from Diffusion Models, Liu et al., Arxiv 2023 | bibtex
- InpaintNeRF360: Text-Guided 3D Inpainting on Unbounded Neural Radiance Fields, Wang et al., Arxiv 2023 | bibtex
- OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields, Yan et al., Arxiv 2023 | bibtex
- Removing Objects From Neural Radiance Fields, Weder wt al., CVPR 2023 | bibtex
- Evaluate Geometry of Radiance Field with Low-frequency Color Prior, Fang et al., Arxiv 2023 | github | bibtex
- VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization, Zhu et al., Arxiv 2023 | github | bibtex
- Behind the Scenes: Density Fields for Single View Reconstruction, Wimbauer et al., CVPR 2023 | github | bibtex
- NeRFshop: Interactive Editing of Neural Radiance Fields, Jambon et al., I3D 2023 | github | bibtex
- DITTO-NeRF: Diffusion-based Iterative Text To Omni-directional 3D Model, Seo et al., Arxiv 2023 | github | bibtex
- Neural Microfacet Fields for Inverse Rendering, Mai et al., Arxiv 2023 | github | bibtex
- StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views, Guo et al., Arxiv 2023 | github | bibtex
- I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs, Zhu et al., CVPR 2023 | github | bibtex
- PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces, Wang et al., CVPR 2023 | github | bibtex
- Reference-guided Controllable Inpainting of Neural Radiance Fields, Mirzaei et al., Arxiv 2023 | bibtex
- NeRFuser: Large-Scale Scene Representation by NeRF Fusion, Fang et al., Arxiv 2023 | github | bibtex
- Registering Neural Radiance Fields as 3D Density Images, Jiang et al., Arxiv 2023 | bibtex
- TiNeuVox: Fast Dynamic Radiance Fields with Time-Aware Neural Voxels, Fang et al., SIGGRAPH Asia 2022 | github | bibtex
- NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads, Kirschstein et al., SIGGRAPH Asia 2023 | bibtex
- AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control, Jiang et al., Arxiv 2023 | github | bibtex
- LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar, Xu et al., SIGGRAPH 2023 | github | bibtex
- HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion, IŞIK et al., SIGGRAPH 2023 | github | bibtex
- AvatarReX: Real-time Expressive Full-body Avatars, Zheng et al., SIGGRAPH 2023 | bibtex
- DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance, Zhang et al., SIGGRAPH 2023 | bibtex
- Object-Centric Voxelization of Dynamic Scenes via Inverse Neural Rendering, Gao et al., Arxiv 2023 | bibtex
- ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields, Somraj et al., SIGGRAPH 2023 | github | bibtex
- General Neural Gauge Fields, Zhan et al., ICLR 2023 | bibtex
- Online Learning of Neural Surface Light Fields alongside Real-time Incremental 3D Reconstruction, Yuan et al., Arxiv 2023 | github | bibtex
- MRVM-NeRF: Mask-Based Pretraining for Neural Radiance Field, Yang et al., Arxiv 2023 | bibtex
- UV Volumes for Real-time Rendering of Editable Free-view Human Performance, Chen et al., CVPR 2023 | github | bibtex
- Re-ReND: Real-time Rendering of NeRFs across Devices, Rojas et al., Arxiv 2023 | bibtex
- Learning Neural Volumetric Representations of Dynamic Humans in Minutes, Geng et al., CVPR 2023 | bibtex
- PermutoSDF: Fast Multi-View Reconstruction withImplicit Surfaces using Permutohedral Lattices, Rosu et al., CVPR 2023 | github | bibtex
- FusedRF: Fusing Multiple Radiance Fields, Goel et al., Arxiv 2023 | bibtex
- Explicit Neural Surfaces: Learning Continuous Geometry With Deformation Fields, Walker et al., Arxiv 2023 | bibtex
- Neural Implicit Dense Semantic SLAM, Haghighi et al., Arxiv 2023 | bibtex
- Point-SLAM: Dense Neural Point Cloud-based SLAM, Sandström et al., Arxiv 2023 | github | bibtex
- Decoupling Dynamic Monocular Videos for Dynamic View Synthesis, You et al., Arxiv 2023 | bibtex
- Neural Field Convolutions by Repeated Differentiation, Nsampi et al., Arxiv 2023 | bibtex
- HQ3DAvatar: High Quality Controllable 3D Head Avatar, Teotia et al., Arxiv 2023 | bibtex
- FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views, Jayasundara et al., CVPR 2023 | bibtex
- Enhanced Stable View Synthesis, Jain et al., CVPR 2023 | bibtex
- S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces, Wu et al., Arxiv 2023 | bibtex
- SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes, Gao et al., CVPR 2023 | github | bibtex
- Learning Neural Duplex Radiance Fields for Real-Time View Synthesis, Wan et al., CVPR 2023 | bibtex
- Multi-Space Neural Radiance Fields, Yin et al., CVPR 2023 | github | bibtex
- Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra, Kulhánek et al., Arxiv 2023 | github | bibtex
- Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering, Hu et al., Arxiv 2023 | bibtex
- Instant Neural Radiance Fields Stylization, Li et al., Arxiv 2023 | bibtex
- MF-NeRF: Memory Efficient NeRF with Mixed-Feature Hash Table, Lee et al., Arxiv 2023 | github | bibtex
- Real-Time Neural Light Field on Mobile Devices, Cao et al., CVPR 2023 | github | bibtex
- NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations, Fu et al., ICML 2023 | bibtex
- Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation, Chen et al., Arxiv 2023 | github | bibtex
- Template-free Articulated Neural Point Clouds for Reposable View Synthesis, Uzolas et al., Arxiv 2023 | github
- DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation, Song et al., Arxiv 2023 | bibtex
- Volume Feature Rendering for Fast Neural Radiance Field Reconstruction, Han et al., Arxiv 2023 | bibtex
- Compact Real-time Radiance Fields with Neural Codebook, Li et al., Arxiv 2023 | bibtex
- Towards a Robust Framework for NeRF Evaluation, Azzarelli et al., Arxiv 2023 | bibtex
- ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis, Hu et al., Arxiv 2023 | github | bibtex
- OR-NeRF: Object Removing from 3D Scenes Guided by Multiview Segmentation with Neural Radiance Fields, Yin et al., Arxiv 2023 | github | bibtex
- VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs, Sun et al., ICJAI 2023 | bibtex
- DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors, Lee et al., CVPR 2023 | github | bibtex
- Temporal Interpolation is All You Need for Dynamic Neural Radiance Fields, Park et al., CVPR 2023 | bibtex
- FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM, Hua et al., Arxiv 2023 | github | bibtex
- ZIGNeRF: Zero-shot 3D Scene Representation with Invertible Generative Neural Radiance Fields, Ko et al., Arxiv 2023 | bibtex
- LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs, Cheng et al., Arxiv 2023 | bibtex
- H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation, Jiang et al., Arxiv 2023 | bibtex
- Binary Radiance Fields, Shin et al., Arxiv 2023 | bibtex
- NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering, Mao et al., Arxiv 2023 | bibtex
- UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video, Lin et al., Arxiv 2023 | bibtex
- Neural Volumetric Reconstruction for Coherent Synthetic Aperture Sonar, Reed et al., Arxiv 2023 | bibtex
- Edit-DiffNeRF: Editing 3D Neural Radiance Fields using 2D Diffusion Model, Yu et al., Arxiv 2023 | bibtex
- Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase, Wang et al., Arxiv 2023 | github | bibtex
- Floaters No More: Radiance Field Gradient Scaling for Improved Near-Camera Training, Philip et al., EGSR 2023 | bibtext
- AvatarBooth: High-Quality and Customizable 3D Human Avatar Generation, Zeng et al., Arxiv 2023 | github | bibtex
- Blended-NeRF: Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields, Gordon et al., Arxiv 2023 | bibtex
- DreamTime: An Improved Optimization Strategy for Text-to-3D Content Creation, Huang et al., Arxiv 2023 | bibtex
- DreamEditor: Text-Driven 3D Scene Editing with Neural Fields, Zhuang et al., Arxiv 2023
- Self-supervised novel 2D view synthesis of large-scale scenes with efficient multi-scale voxel carving, Budisteanu et al., Arxiv 2023 | github