Author

Jin Liang

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Preprint Aug 2026

Rectify Then Diffuse: Disentangling Concepts Before Denoising Trajectory Unfolds

Text-to-image diffusion models can generate individual concepts well, but they often omit or merge concepts incorrectly with multiple concepts. We trace these failures to an early coordination bottleneck: before denoising begins, prompt-conditioned attention may allocate different concepts to strongly overlapping spati...

Ning Zhu, Anchi Chen, Mengfei Zhao et al. · 1 citation

Preprint Aug 2026

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning

A theoretical analysis that characterizes the trade-off controlled by entropic regularization and establishes a task-agnostic minimax bound for cold-start selection and a novel Sinkhorn-based CSAL algorithm, termed $\epsilon$-Adaptive Selection ($\epsilon$-AS).

Ning Zhu, Xiaochuan Ma, Jun-Tao Xu et al. · 0 citations

Preprint Aug 2026

When Extreme Darkness Meets Motion Blur: MeanFlow for Unified RAW Restoration

This work introduces See in the Degraded Extremely Dark (SIDED), a new dataset that applies controlled motion degradation to extremely low-light RAW pairs while retaining their original sensor noise and introduces a physics-guided refinement model to strengthen illumination--reflectance consistency, pixel fidelity, and...

Zepu Wang, Jin Liang, Weijie Xiao et al. · 0 citations