| _ | nerf | _ |
|---|
| 3D Face Style Transfer with a Hybrid Solution of | nerf | and Mesh Rasterization |
| 3D-aware Blending with Generative | nerf | s |
| 3D-Aware Multi-Class Image-to-Image Translation with | nerf | s |
| ABLE- | nerf | : Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field |
| Actors | nerf | : Animatable Few-shot Human Rendering with Generalizable NeRFs |
| AD- | nerf | : Audio Driven Neural Radiance Fields for Talking Head Synthesis |
| AR- | nerf | : Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields |
| Aug- | nerf | : Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations |
| BAD- | nerf | : Bundle Adjusted Deblur Neural Radiance Fields |
| Blended- | nerf | : Zero-Shot Object Generation and Blending in Existing Neural Radiance Fields |
| Blending- | nerf | : Text-Driven Localized Editing in Neural Radiance Fields |
| Block- | nerf | : Scalable Large Scene Neural View Synthesis |
| CAT- | nerf | : Constancy-Aware Tx2Former for Dynamic Body Modeling |
| CG- | nerf | : Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis |
| Circular SAR Incoherent 3D Imaging with a | nerf | -Inspired Method |
| CLIP- | nerf | : Text-and-Image Driven Manipulation of Neural Radiance Fields |
| CL | nerf | : Continual Learning Meets NeRF |
| CNT- | nerf | : Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks |
| Comparison Between 3d Reconstruction Using | nerf | Neural Networks and MVS Algorithms on Cultural Heritage Images, A |
| Compressing Explicit Voxel Grid Representations: fast | nerf | s become also small |
| Conditional-Flow | nerf | : Accurate 3D Modelling with Reliable Uncertainty Quantification |
| Control- | nerf | : Editable Feature Volumes for Scene Rendering and Manipulation |
| Correspondence Distillation from | nerf | -Based GAN |
| Critical Analysis of | nerf | -Based 3D Reconstruction, A |
| D- | nerf | : Neural Radiance Fields for Dynamic Scenes |
| Deblur- | nerf | : Neural Radiance Fields from Blurry Images |
| Delicate Textured Mesh Recovery from | nerf | via Adaptive Surface Refinement |
| Dense Depth-Guided Generalizable | nerf | |
| Depth Map Estimation from Multi-View Images with | nerf | -Based Refinement |
| Depth-supervised | nerf | : Fewer Views and Faster Training for Free |
| DP- | nerf | : Deblurred Neural Radiance Field with Physical Scene Priors |
| DReg- | nerf | : Deep Registration for Neural Radiance Fields |
| Drone- | nerf | : Efficient NeRF based 3D scene reconstruction for large-scale drone survey |
| Drone- | nerf | : Efficient NeRF based 3D scene reconstruction for large-scale drone survey |
| Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit | nerf | |
| EGRA- | nerf | : Edge-Guided Ray Allocation for Neural Radiance Fields |
| Enhancing | nerf | akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts |
| Enhancing | nerf | akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts |
| Ev- | nerf | : Event Based Neural Radiance Field |
| Evaluating the Point Cloud of Individual Trees Generated from Images Based on Neural Radiance Fields ( | nerf | ) Method |
| Exact- | nerf | : An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields |
| F2- | nerf | : Fast Neural Radiance Field Training with Free Camera Trajectories |
| FastSR- | nerf | : Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline |
| FastSR- | nerf | : Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline |
| Feature | nerf | : Learning Generalizable NeRFs by Distilling Foundation Models |
| FiG- | nerf | : Figure-Ground Neural Radiance Fields for 3D Object Category Modelling |
| FLAME-in- | nerf | : Neural control of Radiance Fields for Free View Face Animation |
| Flow Supervision for Deformable | nerf | |
| From | nerf | LiX to NeRFLiX++: A General NeRF-Agnostic Restorer Paradigm |
| generic and flexible regularization framework for | nerf | s, A |
| GeoAug: Data Augmentation for Few-Shot | nerf | with Geometry Constraints |
| Geometry-Guided Progressive | nerf | for Generalizable and Efficient Neural Human Rendering |
| Geo | nerf | : Generalizing NeRF with Geometry Priors |
| GM- | nerf | : Learning Generalizable Model-Based Neural Radiance Fields from Multi-View Images |
| HDR- | nerf | : High Dynamic Range Neural Radiance Fields |
| Head | nerf | : A Realtime NeRF-based Parametric Head Model |
| Hollow | nerf | : Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation |
| Hyb- | nerf | : A Multiresolution Hybrid Encoding for Neural Radiance Fields |
| ICE- | nerf | : Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization |
| ICE- | nerf | : Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization |
| Improving | nerf | with Height Data for Utilization of GIS Data |
| Injecting 3D Perception of Controllable | nerf | -GAN into StyleGAN for Editable Portrait Image Synthesis |
| Interactive | nerf | Geometry Editing With Shape Priors |
| Jacobi | nerf | : NeRF Shaping with Mutual Information Gradients |
| Latent- | nerf | for Shape-Guided Generation of 3D Shapes and Textures |
| LB- | nerf | : Light Bending Neural Radiance Fields for Transparent Medium |
| Learning Disentangled Features for | nerf | -Based Face Reconstruction |
| Learning Unified Decompositional and Compositional | nerf | for Editable Novel View Synthesis |
| Lighting up | nerf | via Unsupervised Decomposition and Enhancement |
| Lip | nerf | : What is the right feature space to lip-sync a NeRF? |
| LU- | nerf | : Scene and Pose Estimation by Synchronizing Local Unposed NeRFs |
| LU- | nerf | : Scene and Pose Estimation by Synchronizing Local Unposed NeRFs |
| Mega- | nerf | : Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs |
| Mega- | nerf | : Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs |
| MIMO- | nerf | : Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields |
| MINE: Towards Continuous Depth MPI with | nerf | for Novel View Synthesis |
| Mip- | nerf | 360: Unbounded Anti-Aliased Neural Radiance Fields |
| Mip- | nerf | : A Multiscale Representation for Anti-Aliasing Neural Radiance Fields |
| MonoNeRD: | nerf | -like Representations for Monocular 3D Object Detection |
| Multi-Date Earth Observation | nerf | : The Detail Is in the Shadows |
| Multi-View Stereo and Depth Priors Guided | nerf | for View Synthesis |
| NAN: Noise-Aware | nerf | s for Burst-Denoising |
| Navi | nerf | : NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation |
| NeRDi: Single-View | nerf | Synthesis with Language-Guided Diffusion as General Image Priors |
| nerf | c-means: Non-Euclidean relational fuzzy clustering |
| nerf | for Outdoor Scene Relighting |
| nerf | in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images |
| nerf | in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis |
| nerf | in the Wild: Neural Radiance Fields for Unconstrained Photo Collections |
| nerf | -Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection |
| nerf | -DS: Neural Radiance Fields for Dynamic Specular Objects |
| nerf | -Editing: Geometry Editing of Neural Radiance Fields |
| nerf | -GAN Distillation for Efficient 3D-Aware Generation with Convolutions |
| nerf | -LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping |
| nerf | -MS: Neural Radiance Fields with Multi-Sequence |
| nerf | -Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation |
| nerf | -RPN: A general framework for object detection in NeRFs |
| nerf | -RPN: A general framework for object detection in NeRFs |
| nerf | -Supervised Deep Stereo |
| nerf | : Representing Scenes as Neural Radiance Fields for View Synthesis |
| nerf | Acc: Efficient Sampling Accelerates NeRFs |
| nerf | busters: Removing Ghostly Artifacts from Casually Captured NeRFs |
| nerf | Invertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation |
| Neural Radiance Fields, | nerf | , Analysis and Use |
| Neural-Sim: Learning to Generate Training Data with | nerf | |
| NoPe- | nerf | : Optimising Neural Radiance Field with No Pose Prior |
| Open- | nerf | : Towards Open Vocabulary NeRF Decomposition |
| Open- | nerf | : Towards Open Vocabulary NeRF Decomposition |
| Point- | nerf | : Point-based Neural Radiance Fields |
| PS- | nerf | : Neural Inverse Rendering for Multi-view Photometric Stereo |
| Putting | nerf | on a Diet: Semantically Consistent Few-Shot View Synthesis |
| Pyramid | nerf | : Frequency Guided Fast Radiance Field Optimization |
| Re-ReND: Real-time Rendering of | nerf | s across Devices |
| Ref- | nerf | : Structured View-Dependent Appearance for Neural Radiance Fields |
| RefSR- | nerf | : Towards High Fidelity and Super Resolution View Synthesis |
| ReLight My | nerf | : A Dataset for Novel View Synthesis and Relighting of Real World Objects |
| Robust e- | nerf | : NeRF from Sparse & Noisy Events under Non-Uniform Motion |
| Robust e- | nerf | : NeRF from Sparse & Noisy Events under Non-Uniform Motion |
| Sat- | nerf | : Learning Multi-View Satellite Photogrammetry With Transient Objects and Shadow Modeling Using RPC Cameras |
| SCADE: | nerf | s from Space Carving with Ambiguity-Aware Depth Estimates |
| SD- | nerf | : Towards Lifelike Talking Head Animation via Spatially-Adaptive Dual-Driven NeRFs |
| SD- | nerf | : Towards Lifelike Talking Head Animation via Spatially-Adaptive Dual-Driven NeRFs |
| SeaThru- | nerf | : Neural Radiance Fields in Scattering Media |
| Set-the-Scene: Global-Local Training for Generating Controllable | nerf | Scenes |
| Sharp- | nerf | : Grid-based Fast Deblurring Neural Radiance Fields using Sharpness Prior |
| SHERF: Generalizable Human | nerf | from a Single Image |
| SINE: Semantic-driven Image-based | nerf | Editing with Prior-guided Editing Field |
| Single-Stage Diffusion | nerf | : A Unified Approach to 3D Generation and Reconstruction |
| SPIn- | nerf | : Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields |
| SRes- | nerf | : Improved Neural Radiance Fields for Realism and Accuracy of Specular Reflections |
| Steer | nerf | : Accelerating NeRF Rendering via Smooth Viewpoint Trajectory |
| Strata- | nerf | : Neural Radiance Fields for Stratified Scenes |
| Stylized | nerf | : Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning |
| Tetra- | nerf | : Representing Neural Radiance Fields Using Tetrahedra |
| To | nerf | or not to NeRF: A View Synthesis Challenge for Human Heads |
| To | nerf | or not to NeRF: A View Synthesis Challenge for Human Heads |
| Two is Better than One: Achieving High-quality 3d Scene Modeling with a | nerf | Ensemble |
| VDN- | nerf | : Resolving Shape-Radiance Ambiguity via View-Dependence Normalization |
| ViewFormer: | nerf | -Free Neural Rendering from Few Images Using Transformers |
| Vision through Obstacles: 3D Geometric Reconstruction and Evaluation of Neural Radiance Fields ( | nerf | s) |
| Vision Transformer for | nerf | -Based View Synthesis from a Single Input Image |
| VM- | nerf | : Tackling Sparsity in NeRF with View Morphing |
| VM- | nerf | : Tackling Sparsity in NeRF with View Morphing |
| X- | nerf | : Explicit Neural Radiance Field for Multi-Scene 360° Insufficient RGB-D Views |
| Zip- | nerf | : Anti-Aliased Grid-Based Neural Radiance Fields |
145 for nerf