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Zhihao Liang

4 papers hereh-index 447 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Zhihao Liang — 5 papers, h 17
  • Zhihao Liang — 3 papers
  • Zhihao Liang — 3 papers
  • Zhihao Liang — 3 papers, h 7
  • Zhihao Liang — 1 paper
  • Zhihao Liang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing

Junliang Ye, Kenkun Liu, Guocun Wang +13

Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing. However, unified 3D modeling…

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.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.CV2025★ 1 cited

Hunyuan3D-Omni: A Unified Framework for Controllable Generation of 3D Assets

Team Hunyuan3D, :, Bowen Zhang +17

Recent advances in 3D-native generative models have accelerated asset creation for games, film, and design. However, most methods still rely primarily on image or text conditioning…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.