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cs.CV2026
Multi-Granularity Reasoning for Image Quality Assessment via Attribute-Aware Reinforcement Learning to Rank
Xiangyong Chen, Xiaochuan Lin, Haoran Liu +3
Recent advances in reasoning-induced image quality assessment (IQA) have demonstrated the power of reinforcement learning to rank (RL2R) for training vision-language models (VLMs)…
cs.CV2025
DeCoT: Decomposing Complex Instructions for Enhanced Text-to-Image Generation with Large Language Models
Xiaochuan Lin, Xiangyong Chen, Xuan Li +1
Despite remarkable advancements, current Text-to-Image (T2I) models struggle with complex, long-form textual instructions, frequently failing to accurately render intricate details…
cs.CV2024
Improving Visual Storytelling with Multimodal Large Language Models
Xiaochuan Lin, Xiangyong Chen
Visual storytelling is an emerging field that combines images and narratives to create engaging and contextually rich stories. Despite its potential, generating coherent and emotio…