3 citations · 9 across the 21 of their papers we have counts for
4 papers · 1 filter
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective
Xiangru Zhu, Penglei Sun, Yaoxian Song +6
Accurate interpretation and visualization of human instructions are crucial for text-to-image (T2I) synthesis. However, current models struggle to capture semantic variations from…
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation
Jiapeng Wang, Chengyu Wang, Tingfeng Cao +2
We present DiffChat, a novel method to align Large Language Models (LLMs) to "chat" with prompt-as-input Text-to-Image Synthesis (TIS) models (e.g., Stable Diffusion) for interacti…
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
Bingyan Liu, Chengyu Wang, Tingfeng Cao +2
Deep Text-to-Image Synthesis (TIS) models such as Stable Diffusion have recently gained significant popularity for creative Text-to-image generation. Yet, for domain-specific scena…
Diffutoon: High-Resolution Editable Toon Shading via Diffusion Models
Zhongjie Duan, Chengyu Wang, Cen Chen +2
Toon shading is a type of non-photorealistic rendering task of animation. Its primary purpose is to render objects with a flat and stylized appearance. As diffusion models have asc…