DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yiyan, Zheng, Wuqiang, Wang, Wenjie, Zhu, Fengbin, Hu, Xinting, Zhang, Yang, Feng, Fuli, Chua, Tat-Seng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NextAds: Towards Next-generation Personalized Video Advertising
by: Xu, Yiyan, et al.
Published: (2026)
by: Xu, Yiyan, et al.
Published: (2026)
Personalized Generation In Large Model Era: A Survey
by: Xu, Yiyan, et al.
Published: (2025)
by: Xu, Yiyan, et al.
Published: (2025)
Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024)
by: Zhao, Jujia, et al.
Published: (2024)
Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)
by: Bao, Honghui, et al.
Published: (2025)
Generative Recommendation: Towards Next-generation Recommender Paradigm
by: Wang, Wenjie, et al.
Published: (2023)
by: Wang, Wenjie, et al.
Published: (2023)
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection
by: Weng, Yan, et al.
Published: (2025)
by: Weng, Yan, et al.
Published: (2025)
Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning
by: Zheng, Wuqiang, et al.
Published: (2025)
by: Zheng, Wuqiang, et al.
Published: (2025)
NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
by: Zhao, Xiaoyan, et al.
Published: (2025)
by: Zhao, Xiaoyan, et al.
Published: (2025)
Large Language Models Empowered Personalized Web Agents
by: Cai, Hongru, et al.
Published: (2024)
by: Cai, Hongru, et al.
Published: (2024)
Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
by: Lin, Xinyu, et al.
Published: (2026)
by: Lin, Xinyu, et al.
Published: (2026)
Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)
by: Wang, Wenjie, et al.
Published: (2024)
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Personalized Image Generation with Large Multimodal Models
by: Xu, Yiyan, et al.
Published: (2024)
by: Xu, Yiyan, et al.
Published: (2024)
Prospect Personalized Recommendation on Large Language Model-based Agent Platform
by: Zhang, Jizhi, et al.
Published: (2024)
by: Zhang, Jizhi, et al.
Published: (2024)
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)
by: Lin, Xinyu, et al.
Published: (2025)
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
by: Lin, Xinyu, et al.
Published: (2023)
by: Lin, Xinyu, et al.
Published: (2023)
Data-efficient Fine-tuning for LLM-based Recommendation
by: Lin, Xinyu, et al.
Published: (2024)
by: Lin, Xinyu, et al.
Published: (2024)
Learnable Item Tokenization for Generative Recommendation
by: Wang, Wenjie, et al.
Published: (2024)
by: Wang, Wenjie, et al.
Published: (2024)
Diffusion Models for Generative Outfit Recommendation
by: Xu, Yiyan, et al.
Published: (2024)
by: Xu, Yiyan, et al.
Published: (2024)
Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
by: Wang, Chengbing, et al.
Published: (2024)
by: Wang, Chengbing, et al.
Published: (2024)
A Survey of Generative Search and Recommendation in the Era of Large Language Models
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
Mitigating Spurious Correlations for Self-supervised Recommendation
by: Lin, Xinyu, et al.
Published: (2022)
by: Lin, Xinyu, et al.
Published: (2022)
Distillation Enhanced Generative Retrieval
by: Li, Yongqi, et al.
Published: (2024)
by: Li, Yongqi, et al.
Published: (2024)
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
by: Wang, Lin, et al.
Published: (2026)
by: Wang, Lin, et al.
Published: (2026)
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
by: Zhang, Yang, et al.
Published: (2024)
by: Zhang, Yang, et al.
Published: (2024)
Efficient Inference for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2024)
by: Lin, Xinyu, et al.
Published: (2024)
Verifiable Reasoning for LLM-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2026)
by: Lin, Xinyu, et al.
Published: (2026)
Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
by: Wang, Chengbing, et al.
Published: (2025)
by: Wang, Chengbing, et al.
Published: (2025)
A Federated Framework for LLM-based Recommendation
by: Zhao, Jujia, et al.
Published: (2024)
by: Zhao, Jujia, et al.
Published: (2024)
A Taxation Perspective for Fair Re-ranking
by: Xu, Chen, et al.
Published: (2024)
by: Xu, Chen, et al.
Published: (2024)
A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
by: Fang, Yi, et al.
Published: (2025)
by: Fang, Yi, et al.
Published: (2025)
Learning to Ask Critical Questions for Assisting Product Search
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
Brownian Bridge Diffusion for Sequential Recommendation
by: Bai, Yimeng, et al.
Published: (2025)
by: Bai, Yimeng, et al.
Published: (2025)
EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
by: Yang, Chaoqun, et al.
Published: (2025)
by: Yang, Chaoqun, et al.
Published: (2025)
Exploring Training and Inference Scaling Laws in Generative Retrieval
by: Cai, Hongru, et al.
Published: (2025)
by: Cai, Hongru, et al.
Published: (2025)
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
by: Xu, Chen, et al.
Published: (2025)
by: Xu, Chen, et al.
Published: (2025)
Understanding Long Videos via LLM-Powered Entity Relation Graphs
by: Chu, Meng, et al.
Published: (2025)
by: Chu, Meng, et al.
Published: (2025)
Similar Items
-
NextAds: Towards Next-generation Personalized Video Advertising
by: Xu, Yiyan, et al.
Published: (2026) -
Personalized Generation In Large Model Era: A Survey
by: Xu, Yiyan, et al.
Published: (2025) -
Denoising Diffusion Recommender Model
by: Zhao, Jujia, et al.
Published: (2024) -
Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023) -
Heterogeneous User Modeling for LLM-based Recommendation
by: Bao, Honghui, et al.
Published: (2025)