3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.AI2026
BlazeEdit: Generalist Image Editing on Mobile Devices with Image-to-Image Diffusion Models
Fei Deng, Yanwu Xu, Zhipeng Bao +4
The remarkable generation quality of modern diffusion models often comes at the cost of massive parameter counts, which necessitate server-side inference with significant computati…
cs.CV2025★ 3 cited
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
Nanye Ma, Shangyuan Tong, Haolin Jia +8
Generative models have made significant impacts across various domains, largely due to their ability to scale during training by increasing data, computational resources, and model…
cs.CV2023
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Yang Zhao, Yanwu Xu, Zhisheng Xiao +2
The deployment of large-scale text-to-image diffusion models on mobile devices is impeded by their substantial model size and slow inference speed. In this paper, we propose \textb…