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.CV2026

HY-World 2.0: A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds

Team HY-World, Chenjie Cao, Xuhui Zuo +42

We introduce HY-World 2.0, a multi-modal world model framework that advances our prior project HY-World 1.0. HY-World 2.0 accommodates diverse input modalities, including text prom…

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

HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixels

HunyuanWorld Team, Zhenwei Wang, Yuhao Liu +52

Creating immersive and playable 3D worlds from texts or images remains a fundamental challenge in computer vision and graphics. Existing world generation approaches typically fall…

cs.CV2025

Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation

Xianghui Yang, Huiwen Shi, Bowen Zhang +20

While 3D generative models have greatly improved artists' workflows, the existing diffusion models for 3D generation suffer from slow generation and poor generalization. To address…