41 citations · 44 across the 20 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
Text-to-image diffusion models allow users control over the content of generated images. Still, text-to-image generation occasionally leads to generation failure requiring users to…
cs.CV2023★ 41 cited
Guided Image Synthesis via Initial Image Editing in Diffusion Model
Jiafeng Mao, Xueting Wang, Kiyoharu Aizawa
Diffusion models have the ability to generate high quality images by denoising pure Gaussian noise images. While previous research has primarily focused on improving the control of…
cs.CV2023
Training-Free Location-Aware Text-to-Image Synthesis
Jiafeng Mao, Xueting Wang
Current large-scale generative models have impressive efficiency in generating high-quality images based on text prompts. However, they lack the ability to precisely control the si…