2 papers
cs.CV2026
Improving Fine-Grained Control via Aggregation of Multiple Diffusion Models
Conghan Yue, Zhengwei Peng, Shiyan Du +4
While many diffusion models perform well when controlling particular aspects such as style, character, and interaction, they struggle with fine-grained control due to dataset limit…
cs.IR2025
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Yuhao Yang, Zhi Ji, Zhaopeng Li +8
Generative models have recently gained attention in recommendation systems by directly predicting item identifiers from user interaction sequences. However, existing methods suffer…