11 citations · 21 across the 6 of their papers we have counts for
6 papers
Network-Adaptive Cloud Processing for Visual Neuroprostheses
Jiayi Liu, Yilin Wang, Michael Beyeler
Cloud-based machine learning is increasingly explored as a preprocessing strategy for next-generation visual neuroprostheses, where advanced scene understanding may exceed the comp…
Discovering Phase Space Structure in Learned Hamiltonian Systems
Jiayin Liu, Yulong Yang, Vineet Bansal +1
Mechanics-inspired neural dynamical models improve interpretability and physical consistency, but they usually assume a known configuration space, fixed physical parameters, and de…
PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model
Xiang Gao, Shuai Yang, Jiaying Liu
Optical illusion hidden picture is an interesting visual perceptual phenomenon where an image is cleverly integrated into another picture in a way that is not immediately obvious t…
Robust Symmetry Detection via Riemannian Langevin Dynamics
Jihyeon Je, Jiayi Liu, Guandao Yang +5
Symmetries are ubiquitous across all kinds of objects, whether in nature or in man-made creations. While these symmetries may seem intuitive to the human eye, detecting them with a…
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation
Xiang Gao, Jiaying Liu
Large-scale text-to-image diffusion models have been a revolutionary milestone in the evolution of generative AI and multimodal technology, allowing wonderful image generation with…
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation
Xiang Gao, Zhengbo Xu, Junhan Zhao +1
Recently, large-scale text-to-image (T2I) diffusion models have emerged as a powerful tool for image-to-image translation (I2I), allowing open-domain image translation via user-pro…