* feat(sim): Optimize support for downstream simulators and gym. * feat(sim): Optimize support for downstream simulators and gym. * docs: update docs * update version
1.8 KiB
1.8 KiB
Changelog
All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog.
[0.1.4] - 2025-08-29
Feature
- Supports importing the output of the EmbodiedGen Layout Generation module with a single
gym.makecommand to create multiple parallel simulation environments and interactive 3D worlds. - Supports coacd-based mesh decomposition for better efficiency and accuracy in physical simulations.
[0.1.3] - 2025-08-19
Feature
- Release
layout-cli🏞️ Layout(Interactive 3D Worlds) Generation, generate interactive 3D scene from task description.
[0.1.2] - 2025-07-31
Feature
- Release
scene3d-cli🌍 3D Scene Generation, generate a color mesh and 3DGS scene from text description. - Release docker file and docker image.
[0.1.1] - 2025-07-11
Feature
- Added intelligent quality checkers and auto-retry pipeline for
image-to-3dandtext-to-3d. - Added unit tests for quality checkers.
text-to-3dnow supports moretext-to-imagemodels, pipeline success rate improved to 94%.
[0.1.0] - 2025-07-04
Feature
🖼️ Single Image to Physics Realistic 3D Asset
- Generates watertight, simulation-ready 3D meshes with physical attributes.
- Auto-labels semantic and quality tags (geometry, texture, foreground, etc.).
- Produces 2K textures with highlight removal and multi-view fusion.
📝 Text-to-3D Asset Generation
- Creates realistic 3D assets from natural language (English & Chinese).
- Filters assets via QA tags to ensure visual and geometric quality.
🎨 Texture Generation & Editing
- Generates 2K textures from mesh and text with semantic alignment.
- Plug-and-play modules adapt text-to-image models for 3D textures.
- Supports realistic and stylized texture outputs, including text textures.