papers

Papers

Paper hub with year and topic facets.

Title	Type	Summary	Source
2D Gaussian Splatting for Geometrically Accurate Radiance Fields	Paper
3D Gaussian Splatting for Real-Time Radiance Field Rendering	Paper
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering	Paper
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes	Paper
AGG: Amortized Generative 3D Gaussians for Single Image to 3D	Paper
BARF: Bundle-Adjusting Neural Radiance Fields	Paper
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM	Paper
DeepV2D: Video to Depth with Differentiable Structure from Motion	Paper
Direct Sparse Odometry	Paper
DreamFusion: Text-to-3D using 2D Diffusion	Paper
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation	Paper
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras	Paper
Dynamic View Synthesis from Dynamic Monocular Video	Paper
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields	Paper
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting	Paper
Gaussian Splatting SLAM	Paper
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting	Paper
HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields	Paper
Image Generators are Generalist Vision Learners	Paper
Implicit Geometric Regularization for Learning Shapes	Paper
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding	Paper
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model	Paper
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance	Paper
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction	Paper
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation	Paper
LRM: Large Reconstruction Model for Single Image to 3D	Paper
LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes	Paper
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors	Paper
Magic3D: High-Resolution Text-to-3D Content Creation	Paper
Mathematical Supplement for the $\\\\texttt{gsplat}$ Library	Paper
MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes	Paper
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields	Paper
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields	Paper
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction	Paper
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images	Paper
NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections	Paper
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	Paper
Nerfies: Deformable Neural Radiance Fields	Paper
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction	Paper
NICE-SLAM: Neural Implicit Scalable Encoding for SLAM	Paper
PlenOctrees for Real-time Rendering of Neural Radiance Fields	Paper
Plenoxels: Radiance Fields without Neural Networks	Paper
Point-SLAM: Dense Neural Point Cloud-based SLAM	Paper
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation	Paper
Revising Densification in Gaussian Splatting	Paper
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering	Paper
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering	Paper
TripoSR: Fast 3D Object Reconstruction from a Single Image	Paper
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction	Paper
Volume Rendering of Neural Implicit Surfaces	Paper
Zero-1-to-3: Zero-shot One Image to 3D Object	Paper