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20232026
most citedDesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing

1 citations · 1 across the 14 of their papers we have counts for

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cs.CV2024

Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators

Yifan Pu, Zhuofan Xia, Jiayi Guo +9

This paper identifies significant redundancy in the query-key interactions within self-attention mechanisms of diffusion transformer models, particularly during the early stages of…

cs.CV2024

Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering

Zeyu Liu, Weicong Liang, Yiming Zhao +5

Recently, Glyph-ByT5 has achieved highly accurate visual text rendering performance in graphic design images. However, it still focuses solely on English and performs relatively po…

cs.CV2024

FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation

Xinzhi Mu, Li Chen, Bohan Chen +5

Recently, the application of modern diffusion-based text-to-image generation models for creating artistic fonts, traditionally the domain of professional designers, has garnered si…

cs.CV2024

Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Zhanhao Liang, Yuhui Yuan, Shuyang Gu +5

Generating visually appealing images is fundamental to modern text-to-image generation models. A potential solution to better aesthetics is direct preference optimization (DPO), wh…

cs.CV2024★ 1 cited

DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing

Yueru Jia, Yuhui Yuan, Aosong Cheng +4

Recently, how to achieve precise image editing has attracted increasing attention, especially given the remarkable success of text-to-image generation models. To unify various spat…