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NeRF

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Showing 201–250 of 1713 papers

TitleStatusHype
NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images—0
NeRF-To-Real Tester: Neural Radiance Fields as Test Image Generators for Vision of Autonomous Systems—0
Bright-NeRF:Brightening Neural Radiance Field with Color Restoration from Low-light Raw Images—0
GSRender: Deduplicated Occupancy Prediction via Weakly Supervised 3D Gaussian Splatting—0
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields—0
AdvIRL: Reinforcement Learning-Based Adversarial Attacks on 3D NeRF ModelsCode0
GraphAvatar: Compact Head Avatars with GNN-Generated 3D GaussiansCode1
Towards a Training Free Approach for 3D Scene Editing—0
Optimize the Unseen - Fast NeRF Cleanup with Free Space Prior—0
EOGS: Gaussian Splatting for Earth Observation—0
Sequence Matters: Harnessing Video Models in 3D Super-Resolution—0
GS-ProCams: Gaussian Splatting-based Projector-Camera Systems—0
VRVVC: Variable-Rate NeRF-Based Volumetric Video Compression—0
NeRF-Texture: Synthesizing Neural Radiance Field Textures—0
Sharpening Your Density Fields: Spiking Neuron Aided Fast Geometry Learning—0
PBR-NeRF: Inverse Rendering with Physics-Based Neural FieldsCode1
GN-FR:Generalizable Neural Radiance Fields for Flare Removal—0
NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis MethodsCode0
EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-time Rendering—0
Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular VideoCode2
Dynamic EventNeRF: Reconstructing General Dynamic Scenes from Multi-view Event Cameras—0
Splatter-360: Generalizable 360^ Gaussian Splatting for Wide-baseline Panoramic ImagesCode2
Perturb-and-Revise: Flexible 3D Editing with Generative Trajectories—0
MixedGaussianAvatar: Realistically and Geometrically Accurate Head Avatar via Mixed 2D-3D Gaussian SplattingCode0
NeRF and Gaussian Splatting SLAM in the WildCode1
ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction—0
BlendPCR: Seamless and Efficient Rendering of Dynamic Point Clouds captured by Multiple RGB-D CamerasCode0
CtrlNeRF: The Generative Neural Radiation Fields for the Controllable Synthesis of High-fidelity 3D-Aware Images—0
SAGA: Surface-Aligned Gaussian Avatar—0
Speedy-Splat: Fast 3D Gaussian Splatting with Sparse Pixels and Sparse PrimitivesCode3
Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives—0
ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration—0
LokiTalk: Learning Fine-Grained and Generalizable Correspondences to Enhance NeRF-based Talking Head Synthesis—0
Surf-NeRF: Surface Regularised Neural Radiance Fields—0
MLI-NeRF: Multi-Light Intrinsic-Aware Neural Radiance FieldsCode0
SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous DrivingCode3
U2NeRF: Unsupervised Underwater Image Restoration and Neural Radiance Fields—0
Quadratic Gaussian Splatting for Efficient and Detailed Surface Reconstruction—0
GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian SupervisionCode1
ZeroGS: Training 3D Gaussian Splatting from Unposed Images—0
NeRF Inpainting with Geometric Diffusion Prior and Balanced Score Distillation—0
SplatSDF: Boosting Neural Implicit SDF via Gaussian Splatting Fusion—0
Robust SG-NeRF: Robust Scene Graph Aided Neural Surface Reconstruction—0
GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting—0
GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous DrivingCode2
SCIGS: 3D Gaussians Splatting from a Snapshot Compressive Image—0
LeC^2O-NeRF: Learning Continuous and Compact Large-Scale Occupancy for Urban Scenes—0
Towards Degradation-Robust Reconstruction in Generalizable NeRF—0
USP-Gaussian: Unifying Spike-based Image Reconstruction, Pose Correction and Gaussian SplattingCode0
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods—0
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