most citedOmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

OmniCamera: A Unified Framework for Multi-task Video Generation with Arbitrary Camera Control

Yukun Wang, Ruihuang Li, Jiale Tao +7

Video fundamentally intertwines two crucial axes: the dynamic content of a scene and the camera motion through which it is observed. However, existing generation models often entan…

cs.CV2026

EffectMaker: Unifying Reasoning and Generation for Customized Visual Effect Creation

Shiyuan Yang, Ruihuang Li, Jiale Tao +3

Visual effects (VFX) are essential for enhancing the expressiveness and creativity of video content, yet producing high-quality effects typically requires expert knowledge and cost…

cs.AI20261 cited

OmniVideo-R1: Reinforcing Audio-visual Reasoning with Query Intention and Modality Attention

Zhangquan Chen, Jiale Tao, Ruihuang Li +10

While humans perceive the world through diverse modalities that operate synergistically to support a holistic understanding of their surroundings, existing omnivideo models still f…

cs.CV2025

PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

Linqing Wang, Ximing Xing, Yiji Cheng +13

Recent advancements in text-to-image (T2I) diffusion models have demonstrated remarkable capabilities in generating high-fidelity images. However, these models often struggle to fa…

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

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…