VoT: Vision-of-Thought for Unified Multimodal Representation Alignment
Vision-of-Thought (VoT), a framework that introduces a discrete visual-thinking layer between vision-language models (VLMs) and diffusion transformers (DiTs) that improves semantic alignment and provides a structured interface for interpretable and controllable generation is proposed.
Jingxiang Sun, Chao Liao, Zheng-Xiong Luo et al.
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