collaborators

5 papers

cs.CV2025

UltraHR-100K: Enhancing UHR Image Synthesis with A Large-Scale High-Quality Dataset

Chen Zhao, En Ci, Yunzhe Xu +5

Ultra-high-resolution (UHR) text-to-image (T2I) generation has seen notable progress. However, two key challenges remain : 1) the absence of a large-scale high-quality UHR T2I data…

cs.CV2025

Describe, Don't Dictate: Semantic Image Editing with Natural Language Intent

En Ci, Shanyan Guan, Yanhao Ge +5

Despite the progress in text-to-image generation, semantic image editing remains a challenge. Inversion-based algorithms unavoidably introduce reconstruction errors, while instruct…

cs.CV2025

CoDi: Subject-Consistent and Pose-Diverse Text-to-Image Generation

Zhanxin Gao, Beier Zhu, Liang Yao +2

Subject-consistent generation (SCG)-aiming to maintain a consistent subject identity across diverse scenes-remains a challenge for text-to-image (T2I) models. Existing training-fre…

cs.CV2025

From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective

Chen Zhao, Zhizhou Chen, Yunzhe Xu +6

Ultra-high-definition (UHD) image restoration faces significant challenges due to its high resolution, complex content, and intricate details. To cope with these challenges, we ana…

cs.CV2024

Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement

Zhennan Chen, Yajie Li, Haofan Wang +6

Regional prompting, or compositional generation, which enables fine-grained spatial control, has gained increasing attention for its practicality in real-world applications. Howeve…