4 papers
2K-Characters-10K-Stories: A Quality-Gated Stylized Narrative Dataset with Disentangled Control and Sequence Consistency
Xingxi Yin, Yicheng Li, Gong Yan +5
Sequential identity consistency under precise transient attribute control remains a long-standing challenge in controllable visual storytelling. Existing datasets lack sufficient f…
InstructAttribute: Fine-grained Object Attributes editing with Instruction
Xingxi Yin, Jingfeng Zhang, Yue Deng +3
Text-to-image (T2I) diffusion models are widely used in image editing due to their powerful generative capabilities. However, achieving fine-grained control over specific object at…
RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers
Yan Gong, Yiren Song, Yicheng Li +2
Inspired by the in-context learning mechanism of large language models (LLMs), a new paradigm of generalizable visual prompt-based image editing is emerging. Existing single-refere…
Optimizing Instruction Synthesis: Effective Exploration of Evolutionary Space with Tree Search
Chenglin Li, Qianglong Chen, Zhi Li +5
Instruction tuning is a crucial technique for aligning language models with humans' actual goals in the real world. Extensive research has highlighted the quality of instruction da…