5 papers
AdaBoosting Text Prompts for Vision-Language Models
Seokhee Jin, Changhwan Sung, Sunung Mun +2
The classification accuracy of pretrained Vision-Language Models (VLMs) relies on the quality of the text prompts. Handcrafted templates and Large Language Model (LLM)-generated de…
Towards Faithful Agentic XAI: A Verification Method and an Open-World Benchmark for Better Model Faithfulness
Jaechang Kim, Sunung Mun, Seungjoon Lee +2
Explainable AI (XAI) helps users interpret model behavior and identify potential faults. Agentic XAI systems use Large Language Models (LLMs) to make explanations more accessible t…
EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation
Sunung Mun, Sunghyun Cho, Jungseul Ok
Recent text-to-image (T2I) generators can synthesize realistic images, but still struggle with compositional prompts involving multiple objects, counts, attributes, and relations.…
World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge
Moo Hyun Son, Jintaek Oh, Sun Bin Mun +2
While text-to-image (T2I) models can synthesize high-quality images, their performance degrades significantly when prompted with novel or out-of-distribution (OOD) entities due to…
Addressing Text Embedding Leakage in Diffusion-based Image Editing
Sunung Mun, Jinhwan Nam, Sunghyun Cho +1
Text-based image editing, powered by generative diffusion models, lets users modify images through natural-language prompts and has dramatically simplified traditional workflows. D…