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

9 citations · 11 across the 28 of their papers we have counts for

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19 papers · 1 filter

cs.CV2025

USV: Unified Sparsification for Accelerating Video Diffusion Models

Xinjian Wu, Hongmei Wang, Yuan Zhou +1

The scalability of high-fidelity video diffusion models (VDMs) is constrained by two key sources of redundancy: the quadratic complexity of global spatio-temporal attention and the…

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

StreamAvatar: Streaming Diffusion Models for Real-Time Interactive Human Avatars

Zhiyao Sun, Ziqiao Peng, Yifeng Ma +8

Real-time, streaming interactive avatars represent a critical yet challenging goal in digital human research. Although diffusion-based human avatar generation methods achieve remar…

cs.CV2025

Harmony: Harmonizing Audio and Video Generation through Cross-Task Synergy

Teng Hu, Zhentao Yu, Guozhen Zhang +6

The synthesis of synchronized audio-visual content is a key challenge in generative AI, with open-source models facing challenges in robust audio-video alignment. Our analysis reve…

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

Pack and Force Your Memory: Long-form and Consistent Video Generation

Xiaofei Wu, Guozhen Zhang, Zhiyong Xu +3

Long-form video generation presents a dual challenge: models must capture long-range dependencies while preventing the error accumulation inherent in autoregressive decoding. To ad…

cs.CV2025

Arbitrary Generative Video Interpolation

Guozhen Zhang, Haiguang Wang, Chunyu Wang +3

Video frame interpolation (VFI), which generates intermediate frames from given start and end frames, has become a fundamental function in video generation applications. However, e…

cs.CV2025

Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition

Jiaqi Li, Junshu Tang, Zhiyong Xu +6

Recent advances in diffusion-based and controllable video generation have enabled high-quality and temporally coherent video synthesis, laying the groundwork for immersive interact…

cs.CV2025

PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement

Teng Hu, Zhentao Yu, Zhengguang Zhou +4

Despite recent advances in video generation, existing models still lack fine-grained controllability, especially for multi-subject customization with consistent identity and intera…

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

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation

Sen Liang, Zhentao Yu, Zhengguang Zhou +8

The emergence of Diffusion Transformers (DiT) has brought significant advancements to video generation, especially in text-to-video and image-to-video tasks. Although video generat…

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

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model

Ruihuang Li, Caijin Zhou, Shoujian Zheng +55

Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content…

cs.CV2025★ 1 cited

HunyuanCustom: A Multimodal-Driven Architecture for Customized Video Generation

Teng Hu, Zhentao Yu, Zhengguang Zhou +4

Customized video generation aims to produce videos featuring specific subjects under flexible user-defined conditions, yet existing methods often struggle with identity consistency…

cs.CV2025

InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework

Jiale Tao, Yanbing Zhang, Qixun Wang +9

Current learning-based subject customization approaches, predominantly relying on U-Net architectures, suffer from limited generalization ability and compromised image quality. Mea…

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

FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model

Jun Zhou, Jiahao Li, Zunnan Xu +6

Currently, instruction-based image editing methods have made significant progress by leveraging the powerful cross-modal understanding capabilities of vision language models (VLMs)…

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…