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arxiv:2506.16504

Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Details

Published on Jun 19
· Submitted by ZeqiangLai on Jun 23
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Abstract

Hunyuan3D 2.5, a suite of 3D diffusion models, advances shape and texture generation with a new LATTICE model and physical-based rendering in a multi-view architecture.

AI-generated summary

In this report, we present Hunyuan3D 2.5, a robust suite of 3D diffusion models aimed at generating high-fidelity and detailed textured 3D assets. Hunyuan3D 2.5 follows two-stages pipeline of its previous version Hunyuan3D 2.0, while demonstrating substantial advancements in both shape and texture generation. In terms of shape generation, we introduce a new shape foundation model -- LATTICE, which is trained with scaled high-quality datasets, model-size, and compute. Our largest model reaches 10B parameters and generates sharp and detailed 3D shape with precise image-3D following while keeping mesh surface clean and smooth, significantly closing the gap between generated and handcrafted 3D shapes. In terms of texture generation, it is upgraded with phyiscal-based rendering (PBR) via a novel multi-view architecture extended from Hunyuan3D 2.0 Paint model. Our extensive evaluation shows that Hunyuan3D 2.5 significantly outperforms previous methods in both shape and end-to-end texture generation.

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