syanhu's repositories
Scaffold-GS
[CVPR 2024] Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering
2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
6-DOF-Inertial-Odometry
IMU-Based 6-DOF Odometry
CityGaussian
[ECCV2024] CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians
gaussian-splatting
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
DFNet
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching (ECCV 2022)
DPT
Dense Prediction Transformers
gaussian-opacity-fields
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
iComMa
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching
instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
LiDAR-Diffusion
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
lightplane
Lightplane implements a highly memory-efficient differentiable radiance field renderer, and a module for unprojecting features from images to 3D grids.
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
mast3r
Grounding Image Matching in 3D with MASt3R
mip-splatting
Mip-Splatting: Alias-free 3D Gaussian Splatting
MultipleCUDA
for Ubuntu 24
mvsplat
🌊 [ECCV'24 Oral] MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images
nerf
Code release for NeRF (Neural Radiance Fields)
nerfstudio
A collaboration friendly studio for NeRFs
NeuS
Code release for NeuS
Octree-GS
Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussians
pixelsplat
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann
Segment-and-Track-Anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
UnityGaussianSplatting
Toy Gaussian Splatting visualization in Unity
wild-gaussians
WildGaussians: 3D Gaussian Splatting In the Wild