collaborators

11 papers

cs.AI2026

PaDoc: Layout-Grounded Parallel Decoding for Document Parsing

Hao Yu, Jiabo Zhan, Kang Liu +8

End-to-end document parsers provide a unified interface, but serialize page layouts and regional contents into one autoregressive sequence. This formulation forces independent regi…

cs.CV2026

FilmWorld: Agentic Novel-to-Film Generation through Dynamic Cinematic World Modeling

Jialong Zuo, Haotong Zuo, Shiwei Zhang +5

Translating novels into films poses a grand challenge for generative artificial intelligence, requiring conversion of abstract literary prose into long-form, multi-scene visual nar…

cs.CV2026

Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing

Feng Wang, Canmiao Fu, Zhipeng Huang +3

Recent unified multimodal models show a single architecture can jointly perform vision/language understanding and image generation/editing. However, they repeatedly feed all histor…

cs.CV2026

WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens

Yiwei Guo, Shaobin Zhuang, Zhipeng Huang +4

Building a unified visual tokenizer is essential for bridging the gap between visual understanding and generation. Yet existing approaches struggle with the inherent conflict betwe…

cs.SD2026

Audio-Omni: Extending Multi-modal Understanding to Versatile Audio Generation and Editing

Zeyue Tian, Binxin Yang, Zhaoyang Liu +8

Recent progress in multimodal models has spurred rapid advances in audio understanding, generation, and editing. However, these capabilities are typically addressed by specialized…

cs.CV2026

WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction

Shaobin Zhuang, Yiwei Guo, Canmiao Fu +7

Visual tokenizer is a critical component for vision generation. However, the existing tokenizers often face unsatisfactory trade-off between compression ratios and reconstruction f…