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cs.CV2026

UniRef-Image-Edit: Towards Scalable and Consistent Multi-Reference Image Editing

Hongyang Wei, Bin Wen, Yancheng Long +22

We present UniRef-Image-Edit, a high-performance multi-modal generation system that unifies single-image editing and multi-image composition within a single framework. Existing dif…

cs.CV2026

Spatial Chain-of-Thought: Bridging Understanding and Generation Models for Spatial Reasoning Generation

Wei Chen, Yancheng Long, Mingqiao Liu +9

While diffusion models have shown exceptional capabilities in aesthetic image synthesis, they often struggle with complex spatial understanding and reasoning. Existing approaches r…

cs.CV2025

Thyme: Think Beyond Images

Yi-Fan Zhang, Xingyu Lu, Shukang Yin +17

Following OpenAI's introduction of the ``thinking with images'' concept, recent efforts have explored stimulating the use of visual information in the reasoning process to enhance…

cs.CV2025

R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning

Yi-Fan Zhang, Xingyu Lu, Xiao Hu +13

Multimodal Reward Models (MRMs) play a crucial role in enhancing the performance of Multimodal Large Language Models (MLLMs). While recent advancements have primarily focused on im…

cs.CV2025

TaskGalaxy: Scaling Multi-modal Instruction Fine-tuning with Tens of Thousands Vision Task Types

Jiankang Chen, Tianke Zhang, Changyi Liu +8

Multimodal visual language models are gaining prominence in open-world applications, driven by advancements in model architectures, training techniques, and high-quality data. Howe…