0ca4a4894f
* feat(sim): Optimize support for downstream simulators and gym. * feat(sim): Optimize support for downstream simulators and gym. * docs: update docs * update version
45 lines
1.8 KiB
Markdown
45 lines
1.8 KiB
Markdown
# Changelog
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All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0).
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## [0.1.4] - 2025-08-29
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### Feature
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- Supports importing the output of the EmbodiedGen Layout Generation module with a single `gym.make` command to create multiple parallel simulation environments and interactive 3D worlds.
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- Supports coacd-based mesh decomposition for better efficiency and accuracy in physical simulations.
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## [0.1.3] - 2025-08-19
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### Feature
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- Release `layout-cli` 🏞️ Layout(Interactive 3D Worlds) Generation, generate interactive 3D scene from task description.
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## [0.1.2] - 2025-07-31
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### Feature
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- Release `scene3d-cli` 🌍 3D Scene Generation, generate a color mesh and 3DGS scene from text description.
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- Release docker file and docker image.
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## [0.1.1] - 2025-07-11
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### Feature
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- Added intelligent quality checkers and auto-retry pipeline for `image-to-3d` and `text-to-3d`.
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- Added unit tests for quality checkers.
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- `text-to-3d` now supports more `text-to-image` models, pipeline success rate improved to 94%.
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## [0.1.0] - 2025-07-04
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### Feature
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🖼️ Single Image to Physics Realistic 3D Asset
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- Generates watertight, simulation-ready 3D meshes with physical attributes.
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- Auto-labels semantic and quality tags (geometry, texture, foreground, etc.).
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- Produces 2K textures with highlight removal and multi-view fusion.
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📝 Text-to-3D Asset Generation
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- Creates realistic 3D assets from natural language (English & Chinese).
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- Filters assets via QA tags to ensure visual and geometric quality.
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🎨 Texture Generation & Editing
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- Generates 2K textures from mesh and text with semantic alignment.
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- Plug-and-play modules adapt text-to-image models for 3D textures.
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- Supports realistic and stylized texture outputs, including text textures.
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