INTRODUCING

LATTICE

Democratize High-Fidelity 3D Generation at Scale


Zeqiang Lai1,2★, Yunfei Zhao2★, Zibo Zhao2, Haolin Liu2
Qingxiang Lin2, Jingwei Huang2, Chunchao Guo2†, Xiangyu Yue1†

1MMLab, CUHK   ·   2Tencent Hunyuan

★ Equal contribution   † Corresponding authors

GitHub Browse Models

"The foundation model behind Hunyuan3D 2.5 and 3.0."

Showcase Image

VoxSet Representation

VoxSet is a novel 3D representation that unifies voxel regularity with the flexibility of set-based models. It encodes geometry in a structured sparse format, enabling both efficient scaling and precise local detail.

This hybrid design allows the system to benefit from predictable scaling laws and consistent test-time improvements, bridging the gap between generated and handcrafted 3D assets.

VoxSet Representation Diagram

Scalable 3D Generative Modeling

Our generation pipeline adopts a two-stage strategy. The first stage generates a coarse structure with any off-the-shelf 3D Generator such as Hunyuan3D-2, and the second stage generate the detailed geometry via LATTICE.

Each latent in VoxSet is anchored to a 3D voxel grid, allowing direct positional embedding into the diffusion transformer for stronger spatial guidance and better model scaling.

Stage 1

Coarse Structure Generation

Powered by Hunyuan3D-2

Stage 2

Detailed Geometry Generation

Powered by LATTICE

Highlight Features

Explore the key features that make LATTICE stand out in 3D generation

Ultimate Geometry Details

The model achieves a level of accuracy approaching that of handcrafted designs, such as the correct number of fingers, the detailed bicycle wheel pattern, and even a bowl within a large scene.

Robot

Tiny and subtle decorations

Vehicle

Complex details

Soldier

Correct number of fingers

Scaling Laws for 3D Generation

Explore how training and test-time scaling affect mesh quality.

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Click points on the curve to view meshes.

Generated 3D Assets

Browse, filter, and interact with generated 3D assets by Hunyuan3D 2.5.

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