加载中
正在获取最新内容，请稍候...
TRELLIS: Structured 3D Latents for Scalable and Versatile 3D Generation (CVPR'25 Spotlight)
Official repository for "Structured 3D Latents for Scalable and Versatile 3D Generation", a CVPR'25 Spotlight paper. This project introduces a novel approach for generating high-quality, diverse, and scalable 3D assets.
Python
Added on 2025年6月27日9,937
Stars850
ForksPython
LanguageProject Introduction
Summary
This project presents the official implementation of the CVPR'25 Spotlight paper "Structured 3D Latents for Scalable and Versatile 3D Generation", offering a cutting-edge method for creating 3D content.
Problem Solved
Traditional methods for 3D content generation often struggle with scalability, diversity, and efficient representation. This project addresses these limitations by introducing a structured latent space that improves both generation quality and versatility at scale.
Core Features
Structured 3D Latent Space
Utilizes a novel structured latent representation that encodes 3D geometry and appearance efficiently.
Scalable Generation
Achieves high scalability, enabling the generation of complex 3D scenes and objects efficiently.
Versatile 3D Output
Supports diverse outputs, allowing for versatile applications across different 3D tasks.
High-Quality Output
Produces high-fidelity 3D models suitable for various downstream applications.
Tech Stack
Python
PyTorch
CUDA
TensorFlow
Numpy
Open3D
使用场景
The technology presented in this repository is applicable to a wide range of scenarios requiring efficient and versatile 3D content.
Use Case 1: Game and Simulation Asset Creation
Details
Generate diverse and complex 3D models for use as assets in video games, simulations, or virtual reality environments.
User Value
Significantly reduces manual modeling time, enabling rapid prototyping and content generation.
Use Case 2: VFX and Digital Content Production
Details
Create high-quality 3D content for visual effects, animation, and digital art projects.
User Value
Provides new tools for generating realistic or stylized 3D elements efficiently.
Use Case 3: 3D Data Analysis and Editing
Details
Utilize the structured latent space for downstream tasks like 3D editing, manipulation, or analysis.
User Value
Enables more efficient and semantically meaningful manipulation of 3D data.
Recommended Projects
You might be interested in these projects
evcc-ioevcc
Open Source Smart EV Charging with Solar PV integration. Optimize your electric vehicle charging to maximize solar energy usage and minimize grid costs.
Go
4792925
louis-earnis
This project, Arnis, is a powerful tool for generating highly detailed, realistic Minecraft Java Edition worlds based on real-world geographic data, allowing users to explore accurate representations of Earth's terrain within the game.
Rust
7412481
MetaCubeXmihomo
A Python library using Pydantic for parsing Honkai: Star Rail game data from the Mihomo API, providing structured access to player profiles, characters, relics, and more.
Python
211303090