8 papers
FineEdit: Fine-Grained Image Edit with Bounding Box Guidance
Haohang Xu, Lin Liu, Zhibo Zhang +3
Diffusion-based image editing models have achieved significant progress in real world applications. However, conventional models typically rely on natural language prompts, which o…
CogniEdit: Dense Gradient Flow Optimization for Fine-Grained Image Editing
Yan Li, Lin Liu, Xiaopeng Zhang +4
Instruction-based image editing with diffusion models has achieved impressive results, yet existing methods struggle with fine-grained instructions specifying precise attributes su…
LoVoRA: Text-guided and Mask-free Video Object Removal and Addition with Learnable Object-aware Localization
Zhihan Xiao, Lin Liu, Yixin Gao +4
Text-guided video editing, particularly for object removal and addition, remains a challenging task due to the need for precise spatial and temporal consistency. Existing methods o…
MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation
Yuan Zhao, Lin Liu
Text-to-image diffusion models have achieved remarkable image quality, but they still struggle with complex, multiele ment prompts, and limited stylistic diversity. To address thes…
O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing
Yuqing Chen, Junjie Wang, Lin Liu +4
Diffusion models have recently advanced video editing, yet controllable editing remains challenging due to the need for precise manipulation of diverse object properties. Current m…
See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops
Zixuan Dong, Baoyun Peng, Yufei Wang +4
Human video comprehension demonstrates dynamic coordination between reasoning and visual attention, adaptively focusing on query-relevant details. However, current long-form video…