1 citations · 2 across the 5 of their papers we have counts for
5 papers
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
Jihoon Lee, Min Song
Despite significant advancements in Large Vision-Language Models, Object Hallucination (OH) remains a persistent challenge. Building upon prior studies on contrastive decoding that…
TIPO: Text to Image with Text Presampling for Prompt Optimization
Shih-Ying Yeh, Yi Li, Sang-Hyun Park +5
TIPO (Text-to-Image Prompt Optimization) introduces an efficient approach for automatic prompt refinement in text-to-image (T2I) generation. Starting from simple user prompts, TIPO…
Illustrious: an Open Advanced Illustration Model
Sang Hyun Park, Jun Young Koh, Junha Lee +5
In this work, we share the insights for achieving state-of-the-art quality in our text-to-image anime image generative model, called Illustrious. To achieve high resolution, dynami…
CAT: Contrastive Adapter Training for Personalized Image Generation
Jae Wan Park, Sang Hyun Park, Jun Young Koh +2
The emergence of various adapters, including Low-Rank Adaptation (LoRA) applied from the field of natural language processing, has allowed diffusion models to personalize image gen…
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
Taeyang Yun, Hyunkuk Lim, Jeonghwan Lee +1
Emotion Recognition in Conversation (ERC) plays a crucial role in enabling dialogue systems to effectively respond to user requests. The emotions in a conversation can be identifie…