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20242026
most citedBreaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks

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cs.CV2025

Diversifying Long Prompt Image Generation through Structured Prompt Embedding Space Sampling

Bo-Kai Ruan, Teng-Fang Hsiao, Ling Lo +2

Modern text-to-image models produce impressive visual results from richly specified prompts, yet their behavior under long prompts remains insufficiently understood. In this paper,…

cs.CV2025

Score Replacement with Bounded Deviation for Rare Prompt Generation

Bo-Kai Ruan, Zi-Xiang Ni, Bo-Lun Huang +2

Diffusion models achieve impressive performance in high-fidelity image generation but often struggle with rare concepts that appear infrequently in the training distribution. Prior…

cs.CV2025

TF-TI2I: Training-Free Text-and-Image-to-Image Generation via Multi-Modal Implicit-Context Learning in Text-to-Image Models

Teng-Fang Hsiao, Bo-Kai Ruan, Yi-Lun Wu +2

Text-and-Image-To-Image (TI2I), an extension of Text-To-Image (T2I), integrates image inputs with textual instructions to enhance image generation. Existing methods often partially…