5 papers
X2SAM: Any Segmentation in Images and Videos
Hao Wang, Limeng Qiao, Chi Zhang +4
Multimodal Large Language Models (MLLMs) have demonstrated strong image-level visual understanding and reasoning, yet their pixel-level perception across both images and videos rem…
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation
Junhao Cheng, Xi Lu, Hanhui Li +5
As cutting-edge Text-to-Image (T2I) generation models already excel at producing remarkable single images, an even more challenging task, i.e., multi-turn interactive image generat…
TheaterGen: Character Management with LLM for Consistent Multi-turn Image Generation
Junhao Cheng, Baiqiao Yin, Kaixin Cai +9
Recent advances in diffusion models can generate high-quality and stunning images from text. However, multi-turn image generation, which is of high demand in real-world scenarios,…
DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation
Minbin Huang, Yanxin Long, Xinchi Deng +6
Text-to-image (T2I) generation models have significantly advanced in recent years. However, effective interaction with these models is challenging for average users due to the need…
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model
Jun Zhou, Jiahao Li, Zunnan Xu +6
Currently, instruction-based image editing methods have made significant progress by leveraging the powerful cross-modal understanding capabilities of vision language models (VLMs)…