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

1 citations · 1 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2026

HunyuanImage 3.0 Technical Report

Tencent Hunyuan Foundation Model Team

We present HunyuanImage 3.0, a native multimodal model that unifies multimodal understanding and generation within an autoregressive framework, with its image generation module pub…

cs.AI2026

The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

Xinlei Yu, Zhangquan Chen, Yongbo He +36

Latent space is rapidly emerging as a native substrate for language-based models. While modern systems are still commonly understood through explicit token-level generation, an inc…

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…