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20242026
most citedHunyuanVideo: A Systematic Framework For Large Video Generative Models

9 citations · 9 across the 14 of their papers we have counts for

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7 papers · 1 filter

cs.LG2025

SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models

Jiesong Lian, Ruizhe Zhong, Zixiang Zhou +6

Post-training alignment of video generation models with human preferences is a critical goal. Developing effective Reward Models (RMs) for this process faces significant methodolog…

cs.CV2025

Video Generation Models Are Good Latent Reward Models

Xiaoyue Mi, Wenqing Yu, Jiesong Lian +9

Reward feedback learning (ReFL) has proven effective for aligning image generation with human preferences. However, its extension to video generation faces significant challenges.…

cs.CV2025

UniAVGen: Unified Audio and Video Generation with Asymmetric Cross-Modal Interactions

Guozhen Zhang, Zixiang Zhou, Teng Hu +6

Due to the lack of effective cross-modal modeling, existing open-source audio-video generation methods often exhibit compromised lip synchronization and insufficient semantic consi…

cs.CV2025

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters

Yi Chen, Sen Liang, Zixiang Zhou +6

Recent years have witnessed significant progress in audio-driven human animation. However, critical challenges remain in (i) generating highly dynamic videos while preserving chara…

cs.CV2025

HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation

Ziyao Huang, Zixiang Zhou, Juan Cao +9

To address key limitations in human-object interaction (HOI) video generation -- specifically the reliance on curated motion data, limited generalization to novel objects/scenarios…

cs.CV2025

Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation

Fa-Ting Hong, Zunnan Xu, Zixiang Zhou +5

Talking head synthesis is vital for virtual avatars and human-computer interaction. However, most existing methods are typically limited to accepting control from a single primary…

cs.CV2025

HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation

Zunnan Xu, Zhentao Yu, Zixiang Zhou +10

We introduce HunyuanPortrait, a diffusion-based condition control method that employs implicit representations for highly controllable and lifelike portrait animation. Given a sing…