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

9 citations · 9 across the 2 of their papers we have counts for

collaborators

10 papers

cs.CV2026

HunyuanImage 3.0 Technical Report

Tencent Hunyuan Foundation Model Team

We present HunyuanImage 3.0, a native multimodal model that unifies multimodal understanding and generation within an autoregressive framework, with its image generation module pub…

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.DC2025

Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment

Haoyang Li, Fangcheng Fu, Sheng Lin +8

To optimize large Transformer model training, both efficient parallel computing and advanced data management are indispensable. However, current methods often assume a stable and u…

cs.CL2025

Reinforcement Learning on Pre-Training Data

Siheng Li, Kejiao Li, Zenan Xu +33

The growing disparity between the exponential scaling of computational resources and the finite growth of high-quality text data now constrains conventional scaling approaches for…

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

ARC-Hunyuan-Video-7B: Structured Video Comprehension of Real-World Shorts

Yuying Ge, Yixiao Ge, Chen Li +15

Real-world user-generated short videos, especially those distributed on platforms such as WeChat Channel and TikTok, dominate the mobile internet. However, current large multimodal…