Ziyao Huang

Orcid: 0009-0004-3141-9979

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Ziyao Huang authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Interactive Visual Assessment for Text-to-Image Generation Models.
IEEE Trans. Vis. Comput. Graph., April, 2026

Make-Your-Anchor+: Temporal Consistent 2D Avatar Generation via Video Diffusion Prior.
IEEE Trans. Vis. Comput. Graph., April, 2026

MoAnimate: Bridging the Motion-Oriented Latent Representation Gaps in Human Video Animation.
IEEE Trans. Circuits Syst. Video Technol., April, 2026

Making Avatars Interact: Towards Text-Driven Human-Object Interaction for Controllable Talking Avatars.
CoRR, February, 2026

2025
HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation.
CoRR, June, 2025

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters.
CoRR, May, 2025

HOMA: Towards Generic Human-Object Interaction in Multimodal Driven Human Animation with Weak Conditions.
Proceedings of the SIGGRAPH Asia 2025 Conference Papers, 2025

2024
Identity-Preserving Face Swapping via Dual Surrogate Generative Models.
ACM Trans. Graph., October, 2024

AnchorCrafter: Animate CyberAnchors Saling Your Products via Human-Object Interacting Video Generation.
CoRR, 2024

Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Dance Your Latents: Consistent Dance Generation through Spatial-temporal Subspace Attention Guided by Motion Flow.
CoRR, 2023

2022
Deepfake Network Architecture Attribution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Progressive Domain Expansion Network for Single Domain Generalization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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