3 papers
cs.CV2023
-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Chengyue Wu, Teng Wang, Yixiao Ge +4
Foundation models have achieved great advances in multi-task learning with a unified interface of unimodal and multimodal tasks. However, the potential of such multi-task learners…
cs.CV2023
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation
Zeyu Lu, Chengyue Wu, Xinyuan Chen +4
Diffusion models have attained impressive visual quality for image synthesis. However, how to interpret and manipulate the latent space of diffusion models has not been extensively…
cs.AI2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images
Zeyu Lu, Di Huang, Lei Bai +4
Photos serve as a way for humans to record what they experience in their daily lives, and they are often regarded as trustworthy sources of information. However, there is a growing…