arXiv Computer Vision
Dreaming in Flow: Bidirectional Self-Refinement for Unified Multimodal Models
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UniSpace: Unified Visual Representation and Scalable Multimodal Modeling
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Hugging Face Trending Papers
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Do You See What You Draw? A Semantic Closed-Loop Framework for Holistic Evaluation of Unified Multimodal Models
As Large Vision-Language Models increasingly aim to integrate visual generation and understanding within a single parameter space, evaluating such structural unification in a cohesive manner remains a critical challenge. Current evaluation protocols predominantly treat generative and discriminative capabilities as separate tasks, leaving a gap in system-level evaluation for unified multimodal models (UMMs).
arXiv Machine Learning
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PE-OPSD: Internalizing Prompt Enhancement into Flow-matching Models via On-Policy Self-Distillation
arXiv:2609.36638v1 Announce Type: new Abstract: Text-to-image users often provide concise and underspecified prompts, whereas generative models benefit from detailed textual conditions for reliable i...