Author

Rui Li

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Preprint Sep 2026

Dreaming in Flow: Generative Grounding Feedback for Self-Evolving Unified Multimodal Models

Unified multimodal models integrate visual understanding and generation within a single network, yet the two capabilities are commonly optimized as separate tasks. We introduce Generative Grounding Feedback(GGF), a self-evolving post-training framework that uses only text prompts and the model's own visual experience....

Ke-Chun Hao, Yuan-Zhi Liang, Ting Chen et al. · 1 citation · ⚡1

Preprint Sep 2026

MotionSpec: Spectral Trajectory Supervision for Motion-Consistent Video Generation

This paper proposes MotionSpec, a motion supervision framework centered on Spectral Trajectory Consistency (STC), which constrains both motion strength across temporal frequencies and the temporal organization of motion, and introduces Local Flow Consistency (LFC), which aligns consecutive-frame optical flow between pr...

Zi-Qi Ni, Rui Li, Shi-Qi Jiang et al. · 1 citation

Preprint Aug 2026

Sample-Adaptive Latent Rewards for Uncertainty-Guided Diffusion Post-Training

A unified latent-space framework for image and video diffusion models that achieves the sota performance among various metrics and further improves optimization stability and achieves the highest VBench quality, semantic, and total scores among the evaluated methods.

Rui Li, Yuan-Zhi Liang, Ke-Chun Hao et al. · 0 citations