5 papers
ReART: Reference-Guided Retrieval and Refinement for Emotion-Aware Art Generation
Qianqian Tang, Jiayi Gao, Ting Lei +1
Emotion-aware artistic image generation requires a model to satisfy semantic content, artistic style, and target emotion simultaneously. The key challenge is that artistic captions…
Identity-Preserving Text-to-Video Generation via Agentic Enhancement and Semantic Repair
Jiayi Gao, Changcheng Hua, Jiaqi Tang +2
Identity-preserving video generation aims to synthesize videos that follow natural-language instructions while maintaining the visual identity of a given subject. Recent commercial…
Taming I2V models for Image HOI Editing: A Cognitive Benchmark and Agentic Self-Correcting Framework
Jiayi Gao, Qingchao Chen, Yuxin Peng +1
Current image editing methods excel at static attributes but fail at complex Human-Object Interactions (HOI), a critical challenge unaddressed by existing benchmarks that conflate…
Identity-Preserving Text-to-Video Generation via Training-Free Prompt, Image, and Guidance Enhancement
Jiayi Gao, Changcheng Hua, Qingchao Chen +2
Identity-preserving text-to-video (IPT2V) generation creates videos faithful to both a reference subject image and a text prompt. While fine-tuning large pretrained video diffusion…
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
Jiayi Gao, Zijin Yin, Changcheng Hua +5
The development of Text-to-Video (T2V) generation has made motion transfer possible, enabling the control of video motion based on existing footage. However, current methods have t…