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

13 papers

cs.CV2026

Beyond Global Latents: Chunk-Based Sparse Grid VAE for Scalable 3D Modeling

Kaiyi Zhang, Zhihao Liang, Haolin Liu +8

Sparse voxel grids preserve the spatial structure needed for detailed 3D reconstruction, but their memory still grows rapidly with resolution as active surface cells increase. We i…

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

MD-Face: MoE-Enhanced Label-Free Disentangled Representation for Interactive Facial Attribute Editing

Xuan Cui, Yunfei Zhao, Bo Liu +2

GAN-based facial attribute editing is widely used in virtual avatars and social media but often suffers from attribute entanglement, where modifying one face attribute unintentiona…

cs.CV2026

ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding

Jovana Kondic, Pengyuan Li, Dhiraj Joshi +24

Understanding charts requires models to jointly reason over geometric visual patterns, structured numerical data, and natural language -- a capability where current vision-language…

cs.CV2026

HY3D-Bench: Generation of 3D Assets

Team Hunyuan3D, :, Bowen Zhang +22

While recent advances in neural representations and generative models have revolutionized 3D content creation, the field remains constrained by significant data processing bottlene…

cs.GR2025

LATTICE: Democratize High-Fidelity 3D Generation at Scale

Zeqiang Lai, Yunfei Zhao, Zibo Zhao +5

We present LATTICE, a new framework for high-fidelity 3D asset generation that bridges the quality and scalability gap between 3D and 2D generative models. While 2D image synthesis…