shigon255's starred repositories
Learn-Git-in-30-days
這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】,歡迎大家 fork 我,如果有看見任何文字勘誤,也歡迎利用 pull request 來通知我修正,謝謝!
objaverse-xl
🪐 Objaverse-XL is a Universe of 10M+ 3D Objects. Contains API Scripts for Downloading and Processing!
mvs_objaverse
A little repo to render objaverse objects with blender
Rendered-Shadow-Generation-Dataset-RdSOBA
[AAAI 2024] The dataset used in our paper "Shadow Generation with Decomposed Mask Prediction and Attentive Shadow Filling", AAAI 2024.
taichi_3d_gaussian_splatting
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
youtube-music
YouTube Music Desktop App bundled with custom plugins (and built-in ad blocker / downloader)
Awesome-Object-Shadow-Generation
A curated list of papers, code, and resources pertaining to object shadow generation.
LLM-in-Vision
Recent LLM-based CV and related works. Welcome to comment/contribute!
Object-Shadow-Generation-Dataset-DESOBAv2
[CVPR 2024] The dataset, code, and model for our paper "Shadow Generation for Composite Image Using Diffusion Model", CVPR, 2024.
UnrealMobileNeRF
A plugin for importing and visualizing pre-trained MobileNeRF scenes in Unreal Engine.
torch-bakedsdf
An unofficial pytorch implementation of BakedSDF
gaussian-opacity-fields
Gaussian Opacity Fields: Efficient and Compact Surface Reconstruction in Unbounded Scenes
PegasusSimulator
A framework built on top of NVIDIA Isaac Sim for simulating drones with PX4 support and much more
SwapCudaVersionWindows
How to swap/switch CUDA versions on Windows
2.5d-gaussian-splatting
an unofficial 2DGS implementation based on GauStudio
2d-gaussian-splatting
[SIGGRAPH'24] 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
prolificdreamer
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)
switch-cuda
A simple bash script for switching between installed versions of CUDA.
DreamPhysics
DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians from Video Diffusion Priors