5 papers · 1 filter
MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
Chuanzhi Xu, Chengkun Yue, Haolan Guo +5
An image's original dimensions, aspect ratio, and composition provide important cues that can affect its technical and aesthetic quality. Image assessment methods use resizing, cro…
PrefLUT: Reusable and Refinable Personalized Color Editing from Pairwise Preferences
Chuanzhi Xu, Langyi Chen, Chengkun Yue +5
Photographic color editing is inherently personal: the same image can appear too warm, too muted, or already satisfactory to different users. Most lookup table (LUT) and reference-…
Background Gradients Shape Memorization in Flow Matching
Xuanhua Yin, Boyu Wei, Shuyi Zhang +3
Repetition is closely associated with memorization in generative models, but how other training images affect the retention and copying of targets remains unclear. We study this qu…
Measured Sliders: Learning Continuous Controls from Differentiable Image Measurements
Yijia Chen, Boyu Wei, Xuanhua Yin
Continuous sliders are useful only when coefficient changes produce predictable image changes. Yet most diffusion sliders derive their axes from text or learned representations, le…
AccelAes: Accelerating Diffusion Transformers for Training-Free Aesthetic-Enhanced Image Generation
Xuanhua Yin, Chuanzhi Xu, Haoxian Zhou +2
Diffusion Transformers (DiTs) are a dominant backbone for high-fidelity text-to-image generation due to strong scalability and alignment at high resolutions. However, quadratic sel…