Kaiwen Zhu
Scholar

Kaiwen Zhu

Google Scholar ID: O8lP5XMAAAAJ
Shanghai Jiao Tong University
Multi-Modal GenerationComputer Vision
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Citations & Impact
All-time
Citations
55
 
H-index
3
 
i10-index
2
 
Publications
6
 
Co-authors
7
list available
Contact
No contact links provided.
Publications
10 items
Accelerating Masked Image Generation by Learning Latent Controlled Dynamics
2026
Cited
0
UniPercept: Towards Unified Perceptual-Level Image Understanding across Aesthetics, Quality, Structure, and Texture
2025
Cited
0
dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models
2025
Cited
0
PICABench: How Far Are We from Physically Realistic Image Editing?
2025
Cited
0
Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding
2025
Cited
0
Exploring Scalable Unified Modeling for General Low-Level Vision
2025
Cited
0
ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understanding
2025
Cited
0
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision
2025
Cited
0
Resume (English only)
Co-authors
7 total
Chao Dong
Chao Dong
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Zhiyuan You
Zhiyuan You
MMLab, The Chinese University of Hong Kong
Jinjin GU
Jinjin GU
Tenure-Track Faculty Member, INSAIT, Sofia University
Tianfan Xue
Tianfan Xue
Information Engineering Department, The Chinese University of Hong Kong
Yuandong Pu
Yuandong Pu
SJTU，Shanghai AI Laboratory
Yu Qiao
Yu Qiao
Professor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CAS
Yihao Liu
Yihao Liu
Shanghai Artificial Intelligence Laboratory