2 citations · 2 across the 2 of their papers we have counts for
5 papers
Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation
Ke Li, Shichong Peng, Tianhao Zhang +1
Many tasks in computer vision and graphics fall within the framework of conditional image synthesis. In recent years, generative adversarial nets (GANs) have delivered impressive a…
Trajectory Normalized Gradients for Distributed Optimization
Jianqiao Wangni, Ke Li, Jianbo Shi +1
Recently, researchers proposed various low-precision gradient compression, for efficient communication in large-scale distributed optimization. Based on these work, we try to reduc…
On the Implicit Assumptions of GANs
Ke Li, Jitendra Malik
Generative adversarial nets (GANs) have generated a lot of excitement. Despite their popularity, they exhibit a number of well-documented issues in practice, which apparently contr…
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Ke Li, Tianhao Zhang, Jitendra Malik
Most existing methods for conditional image synthesis are only able to generate a single plausible image for any given input, or at best a fixed number of plausible images. In this…
Learning to Optimize
Ke Li, Jitendra Malik
Algorithm design is a laborious process and often requires many iterations of ideation and validation. In this paper, we explore automating algorithm design and present a method to…