most citedHunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

9 citations · 9 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV20269 cited

Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Zibo Zhao, Zeqiang Lai, Qingxiang Lin +71

We present Hunyuan3D 2.0, an advanced large-scale 3D synthesis system for generating high-resolution textured 3D assets. This system includes two foundation components: a large-sca…

cs.CV2025

Hunyuan3D Studio: End-to-End AI Pipeline for Game-Ready 3D Asset Generation

Biwen Lei, Yang Li, Xinhai Liu +97

The creation of high-quality 3D assets, a cornerstone of modern game development, has long been characterized by labor-intensive and specialized workflows. This paper presents Huny…

cs.CV2025

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

Zeqiang Lai, Yunfei Zhao, Haolin Liu +23

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…

cs.CV2025

Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Material

Team Hunyuan3D, Shuhui Yang, Mingxin Yang +50

3D AI-generated content (AIGC) is a passionate field that has significantly accelerated the creation of 3D models in gaming, film, and design. Despite the development of several gr…

cs.CV2025

RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesis

Yifei Feng, Mingxin Yang, Shuhui Yang +6

Painting textures for existing geometries is a critical yet labor-intensive process in 3D asset generation. Recent advancements in text-to-image (T2I) models have led to significan…