1 citations · 1 across the 6 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
Can Unified Generation and Understanding Models Maintain Semantic Equivalence Across Different Output Modalities?
Hongbo Jiang, Jie Li, Yunhang Shen +4
Unified Multimodal Large Language Models (U-MLLMs) integrate understanding and generation within a single architecture. However, existing evaluations typically assess these capabil…
cs.CV2026
Unleashing MLLMs on the Edge: A Unified Framework for Cross-Modal ReID via Adaptive SVD Distillation
Hongbo Jiang, Jie Li, Xinqi Cai +4
Practical cloud-edge deployment of Cross-Modal Re-identification (CM-ReID) faces challenges due to maintaining a fragmented ecosystem of specialized cloud models for diverse modali…
cs.CV2025
Insert Anything: Image Insertion via In-Context Editing in DiT
Wensong Song, Hong Jiang, Zongxing Yang +2
This work presents Insert Anything, a unified framework for reference-based image insertion that seamlessly integrates objects from reference images into target scenes under flexib…