1 citations · 1 across the 4 of their papers we have counts for
4 papers
Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models
Kang Wei, Xin Yuan, Fushuo Huo +5
Diffusion models (DMs) have been investigated in various domains due to their ability to generate high-quality data, thereby attracting significant attention. However, similar to t…
Generative Lifting of Multiview to 3D from Unknown Pose: Wrapping NeRF inside Diffusion
Xin Yuan, Rana Hanocka, Michael Maire
We cast multiview reconstruction from unknown pose as a generative modeling problem. From a collection of unannotated 2D images of a scene, our approach simultaneously learns both…
Drop-Connect as a Fault-Tolerance Approach for RRAM-based Deep Neural Network Accelerators
Mingyuan Xiang, Xuhan Xie, Pedro Savarese +3
Resistive random-access memory (RRAM) is widely recognized as a promising emerging hardware platform for deep neural networks (DNNs). Yet, due to manufacturing limitations, current…
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation
Xin Yuan, Michael Maire
We develop a neural network architecture which, trained in an unsupervised manner as a denoising diffusion model, simultaneously learns to both generate and segment images. Learnin…