2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2024
Training-free Editioning of Text-to-Image Models
Jinqi Wang, Yunfei Fu, Zhangcan Ding +3
Inspired by the software industry's practice of offering different editions or versions of a product tailored to specific user groups or use cases, we propose a novel task, namely,…
cs.CV2024
Deep Generative Model based Rate-Distortion for Image Downscaling Assessment
Yuanbang Liang, Bhavesh Garg, Paul L Rosin +1
In this paper, we propose Image Downscaling Assessment by Rate-Distortion (IDA-RD), a novel measure to quantitatively evaluate image downscaling algorithms. In contrast to image-ba…
cs.CV2023★ 2 cited
Feature Proliferation -- the "Cancer" in StyleGAN and its Treatments
Shuang Song, Yuanbang Liang, Jing Wu +2
Despite the success of StyleGAN in image synthesis, the images it synthesizes are not always perfect and the well-known truncation trick has become a standard post-processing techn…