caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
⚡ Executive Summary & Quick Facts
Authoritative SourceOpen-DiffusionGS is Open-DiffusionGS is an open-source project written in Python: Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), caiyuanhao1998/Open-DiffusionGS has accumulated 868 GitHub stars and 46 forks. It is written in Python, licensed under MIT, and ranks #9,325 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | caiyuanhao1998/Open-DiffusionGS ↗ |
|---|---|
| Primary Category | 3d diffusion models |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 868 stars · ⑂ 46 forks · #9,325 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, Open-DiffusionGS is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (3 days ago). Supported by 868 stars and 46 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+22
STARS · LAST 30 DAYS
1
PER DAY
#1,353
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +22 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
Open-DiffusionGS gained 22 stars in the last 30 days, about 1 a day, and now has 868. It is about 2 years old and has averaged roughly 434 stars a year. It ranks #1,353 among Python repositories and #9,325 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#12554
BEST RANK
Nov 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Open-DiffusionGS has maintained a continuous presence across global trending indexes, peaking at #12554. Below is the 30-day activity profile:
💡 Overview
Open-DiffusionGS is an open-source project written in Python: Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025).
Engineered for speed, consistency, and developer ease, it solves common hurdles in 3d-diffusion-models, 3d-gaussian-splatting, 3d-generation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install Open-DiffusionGS⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Open-DiffusionGS coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed Open-DiffusionGS into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install Open-DiffusionGS using your package manager: `pip install Open-DiffusionGS`
Initialize your project workspace or configuration file for Open-DiffusionGS.
Import Open-DiffusionGS into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Open-DiffusionGS --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
caiyuanhao1998/Open-DiffusionGS is currently ranked #9,325 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #9,318 | haproxytech/kubernetes-ingress | Go | ★ 870 | Compare ↗ |
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| #9,324 | annotorious/annotorious | TypeScript | ★ 869 | Compare ↗ |
| #9,325 | caiyuanhao1998/Open-DiffusionGS This Project | Python | ★ 868 | |
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| #9,325 | egraphs-good/egglog | Rust | ★ 868 | Compare ↗ |
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Frequently Asked Questions
What does Open-DiffusionGS do? +
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D Generation and Reconstruction (ICCV 2025)
Is Open-DiffusionGS actively maintained in 2026? +
Yes, Open-DiffusionGS is actively maintained. The latest code push was recorded on Nov 9, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 868 stars and 0 open issues.
What language is Open-DiffusionGS written in? +
The primary language is Python. Topics include: 3d-diffusion-models, 3d-gaussian-splatting, 3d-generation, 3d-graphics, 3d-mesh-generation.
How many stars does Open-DiffusionGS have? +
Open-DiffusionGS has 868 stars and 46 forks on GitHub.
How does Open-DiffusionGS rank among GitHub repositories? +
With 868 stars, caiyuanhao1998/Open-DiffusionGS is ranked #9,325 globally across all repositories tracked on GitHubRepo and #1,353 among Python projects.
What license is Open-DiffusionGS distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
