3 papers
cs.DC2026
HADIS: Hybrid Adaptive Diffusion Model Serving for Efficient Text-to-Image Generation
Qizheng Yang, Tung-I Chen, Siyu Zhao +2
Text-to-image diffusion models have achieved remarkable visual quality but incur high computational costs, making latency-aware, scalable deployment challenging. To address this, w…
cs.CV2025
Unbiased Visual Reasoning with Controlled Visual Inputs
Zhaonan Li, Shijie Lu, Fei Wang +11
End-to-end Vision-language Models (VLMs) often answer visual questions by exploiting spurious correlations instead of causal visual evidence, and can become more shortcut-prone whe…
cs.DC2025
DiffServe: Efficiently Serving Text-to-Image Diffusion Models with Query-Aware Model Scaling
Sohaib Ahmad, Qizheng Yang, Haoliang Wang +2
Text-to-image generation using diffusion models has gained increasing popularity due to their ability to produce high-quality, realistic images based on text prompts. However, effi…