deepopen-com/deepopen-3d-webs
Image-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser 图像驱动的三维场景生成系统
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
中文 中文说明 Guangyu Zaojing (光域造景) is an image-driven 3D scene generation system. You supply one reference image and a prompt, and the system generates scene results along a camera trajectory that you can preview, replay, and trace. The official 3D demo assets play color/depth animations and Gaussian point clouds directly in the browser. The web app ships as a Docker image and listens on port 8090 by default. A single image rarely turns into spatial content you can look around in, move through, and hand off. The traditional pipeline splits depth estimation, image completion, 3D representation, and camera flythrough across separate tools, so creators can't carry a scene from start to finish in one interface. Guangyu Zaojing collapses that chain into a single studio: The system runs in demo mode by default. Without a GPU, the pages, the gallery's 3D demos, and task replay all remain usable. With CUDA and…
Read the full README ↗ · Preview checked 2026-10-28T12:32:55.280Z
Inside the original README — Document outline
- DeepOpen-3d-webs
- Project Overview
- 1. Background and Goals
- 2. Use Cases
- 3. Core Features
- 4. Tech Stack
- 4.1 Code Structure
- 5. UI Preview
- 6. Getting Started
- 6.1 Requirements
- 6.2 Startup
- 6.3 Access
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Links from the README
References supplied by the publisher, not independently verified endorsements. Check the destination before downloading files or entering credentials.
Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Image-driven 3D scene generation system. Users provide a reference image and prompt words, and the system generates previewable, replayable, and traceable scene results according to the camera trajectory; official 3D demonstration assets allow direct viewing of color/depth animations and Gaussian point clouds in the browser 图像驱动的三维场景生成系统
Repository facts
- Owner
- deepopen-com
- Primary language
- Python
- Stars
- 1,119
- Forks
- 111
- Open issues + pull requests
- 0
- License
- Not reported — inspect the license file
- Archived
- No
- Default branch
- main
- Created
- 2026-10-26T12:13:47.000Z
- Last push
- 2026-10-27T06:48:29.000Z
Topics and intended use
Owner-supplied topics: 3d, gaussian-filter, gaussian-splatting
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-10-31T12:17:23.005Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
Related repositories
EbookFoundation/free-programming-books
donnemartin/system-design-primer