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NeRF

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논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

MUVOD: A Novel Multi-view Video Object Segmentation Dataset and A Benchmark for 3D Segmentation

DreamArt: Generating Interactable Articulated Objects from a Single Image

Reflections Unlock: Geometry-Aware Reflection Disentanglement in 3D Gaussian Splatting for Photorealistic Scenes Rendering

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields

PanSt3R: Multi-view Consistent Panoptic Segmentation

Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects

Self-Supervised Multimodal NeRF for Autonomous Driving

NeRF-based CBCT Reconstruction needs Normalization and Initialization

2D Triangle Splatting for Direct Differentiable Mesh Training

MCN-SLAM: Multi-Agent Collaborative Neural SLAM with Hybrid Implicit Neural Scene Representation

Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions

3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene

R3eVision: A Survey on Robust Rendering, Restoration, and Enhancement for 3D Low-Level Vision

RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories

Efficient multi-view training for 3D Gaussian Splatting

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting

The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge

Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency

Speedy Deformable 3D Gaussian Splatting: Fast Rendering and Compression of Dynamic Scenes

SPC to 3D: Novel View Synthesis from Binary SPC via I2I translation

Dy3DGS-SLAM: Monocular 3D Gaussian Splatting SLAM for Dynamic Environments

NeurNCD: Novel Class Discovery via Implicit Neural Representation

Splat and Replace: 3D Reconstruction with Repetitive Elements

Generating Synthetic Stereo Datasets using 3D Gaussian Splatting and Expert Knowledge Transfer

Unifying Appearance Codes and Bilateral Grids for Driving Scene Gaussian Splatting

ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation

ODE-GS: Latent ODEs for Dynamic Scene Extrapolation with 3D Gaussian Splatting

Hi-Dyna Graph: Hierarchical Dynamic Scene Graph for Robotic Autonomy in Human-Centric Environments

LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering

PhysicsNeRF: Physics-Guided 3D Reconstruction from Sparse Views

Structure from Collision

ADD-SLAM: Adaptive Dynamic Dense SLAM with Gaussian Splatting

Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction

GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis

ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization

OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.