most citedPromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing

Runze He, Yiji Cheng, Tiankai Hang +11

In-context image generation and editing (ICGE) enables users to specify visual concepts through interleaved image-text prompts, demanding precise understanding and faithful executi…

cs.CV2025

JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization

Yunlong Lin, Linqing Wang, Kunjie Lin +11

Agent-based editing models have substantially advanced interactive experiences, processing quality, and creative flexibility. However, two critical challenges persist: (1) instruct…

cs.CV20252 cited

PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting

Linqing Wang, Ximing Xing, Yiji Cheng +13

Recent advancements in text-to-image (T2I) diffusion models have demonstrated remarkable capabilities in generating high-fidelity images. However, these models often struggle to fa…

cs.AI2025

Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference

Xiangwei Shen, Zhimin Li, Zhantao Yang +6

Recent studies have demonstrated the effectiveness of directly aligning diffusion models with human preferences using differentiable reward. However, they exhibit two primary chall…

cs.CV2025

Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning

Yibin Wang, Zhimin Li, Yuhang Zang +4

Recent advances in multimodal Reward Models (RMs) have shown significant promise in delivering reward signals to align vision models with human preferences. However, current RMs ar…