Stars
A 3DGS framework for omni urban scene reconstruction and simulation.
🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️
[SIGGRAPH Asia 2024 (Journal Track)] StableNormal: Reducing Diffusion Variance for Stable and Sharp Normal
Performance analysis of predictive (alpha) stock factors
ffn - a financial function library for Python
A股量化实盘、模拟实盘。本项目基于券商接口，实现小市值策略DEMO在线实盘交易。您可参照本项目轻松实盘您的本地策略 #A股 #量化
[ECCV2024] Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
An extension of Open3D to address 3D Machine Learning tasks
Open3D: A Modern Library for 3D Data Processing
Official code of "Fully Explicit Dynamic Gaussian Splatting (NeurIPS 2024)"
Official Implementation of paper "MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion"
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.
DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos
[IROS 2024] MM3DGS SLAM: Multi-modal 3D Gaussian Splatting for SLAM Using Vision, Depth, and Inertial Measurements
FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry
2024 Gaussian Splatting Paper List(Arxiv)
v2ray2json is a Python script for converting 'vmess://', 'vless://', 'trojan://', 'ss://', etc. subscription format to JSON config.
SfM for sphere images in the ERP format within the framework of ColMap
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
An algorithm for reconstructing the radiance field of a dynamic scene from a casually-captured video.
A curated list of awesome neural radiance fields for dynamic scenes
A Microsoft Windows® USB installation media preparer for GNU+Linux
Official Implementation (PyTorch) of "UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields", NeurIPS 2023
TensorDict is a pytorch dedicated tensor container.