6 papers
A Linearly Convergent Robust Compressed Push-Pull Method for Decentralized Optimization
Yiwei Liao, Zhuorui Li, Shi Pu
In the modern paradigm of multi-agent networks, communication has become one of the main bottlenecks for decentralized optimization, where a large number of agents are involved in…
Realtime Data-Efficient Portrait Stylization Based On Geometric Alignment
Xinrui Wang, Zhuoru Li, Xiao Zhou +2
Portrait Stylization aims to imbue portrait photos with vivid artistic effects drawn from style examples. Despite the availability of enormous training datasets and large network w…
The Animation Transformer: Visual Correspondence via Segment Matching
Evan Casey, Víctor Pérez, Zhuoru Li +5
Visual correspondence is a fundamental building block on the way to building assistive tools for hand-drawn animation. However, while a large body of work has focused on learning v…
Learning Aesthetic Layouts via Visual Guidance
Qingyuan Zheng, Zhuoru Li, Adam Bargteil
We explore computational approaches for visual guidance to aid in creating aesthetically pleasing art and graphic design. Our work complements and builds on previous work that deve…
Compressed Gradient Tracking Methods for Decentralized Optimization with Linear Convergence
Yiwei Liao, Zhuorui Li, Kun Huang +1
Communication compression techniques are of growing interests for solving the decentralized optimization problem under limited communication, where the global objective is to minim…
Learning to Shadow Hand-drawn Sketches
Qingyuan Zheng, Zhuoru Li, Adam Bargteil
We present a fully automatic method to generate detailed and accurate artistic shadows from pairs of line drawing sketches and lighting directions. We also contribute a new dataset…