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cs.CV2025

UniREditBench: A Unified Reasoning-based Image Editing Benchmark

Feng Han, Yibin Wang, Chenglin Li +7

Recent advances in multi-modal generative models have driven substantial improvements in image editing. However, current generative models still struggle with handling diverse and…

cs.CV2025

UniGenBench++: A Unified Semantic Evaluation Benchmark for Text-to-Image Generation

Yibin Wang, Zhimin Li, Yuhang Zang +8

Recent progress in text-to-image (T2I) generation underscores the importance of reliable benchmarks in evaluating how accurately generated images reflect the semantics of their tex…

cs.CV2025

Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning

Yibin Wang, Zhimin Li, Yuhang Zang +6

Recent advancements highlight the importance of GRPO-based reinforcement learning methods and benchmarking in enhancing text-to-image (T2I) generation. However, current methods usi…

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…

cs.CV2025

Unified Reward Model for Multimodal Understanding and Generation

Yibin Wang, Yuhang Zang, Hao Li +2

Recent advances in human preference alignment have significantly improved multimodal generation and understanding. A key approach is to train reward models that provide supervision…