1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation
Yi Yao, Chan-Feng Hsu, Jhe-Hao Lin +5
In spite of recent advancements in text-to-image generation, limitations persist in handling complex and imaginative prompts due to the restricted diversity and complexity of train…
cs.CV2024★ 1 cited
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning
Hongxia Xie, Chu-Jun Peng, Yu-Wen Tseng +4
Visual Instruction Tuning represents a novel learning paradigm involving the fine-tuning of pre-trained language models using task-specific instructions. This paradigm shows promis…