2 citations · 4 across the 6 of their papers we have counts for
7 papers · 1 filter
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
You Li, Fan Ma, Yi Yang
Diffusion models have recently been employed to generate high-quality images, reducing the need for manual data collection and improving model generalization in tasks such as objec…
Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations
Yufeng Yue, Meng Yu, Luojie Yang +1
Image restoration is rather challenging in adverse weather conditions, especially when multiple degradations occur simultaneously. Blind image decomposition was proposed to tackle…
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
Ruijie Quan, Wenguan Wang, Zhibo Tian +2
Reconstructing the viewed images from human brain activity bridges human and computer vision through the Brain-Computer Interface. The inherent variability in brain function betwee…
Clustering Propagation for Universal Medical Image Segmentation
Yuhang Ding, Liulei Li, Wenguan Wang +1
Prominent solutions for medical image segmentation are typically tailored for automatic or interactive setups, posing challenges in facilitating progress achieved in one task to an…
Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval
Yucheng Suo, Fan Ma, Linchao Zhu +1
We study the zero-shot Composed Image Retrieval (ZS-CIR) task, which is to retrieve the target image given a reference image and a description without training on the triplet datas…
MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis
Dewei Zhou, You Li, Fan Ma +2
We present a Multi-Instance Generation (MIG) task, simultaneously generating multiple instances with diverse controls in one image. Given a set of predefined coordinates and their…