65 citations · 172 across the 19 of their papers we have counts for
6 papers · 1 filter
VToonify: Controllable High-Resolution Portrait Video Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu +1
Generating high-quality artistic portrait videos is an important and desirable task in computer graphics and vision. Although a series of successful portrait image toonification mo…
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset
Hao Zhu, Wayne Wu, Wentao Zhu +5
Large-scale datasets have played indispensable roles in the recent success of face generation/editing and significantly facilitated the advances of emerging research fields. Howeve…
Delving into High-Quality Synthetic Face Occlusion Segmentation Datasets
Kenny T. R. Voo, Liming Jiang, Chen Change Loy
This paper performs comprehensive analysis on datasets for occlusion-aware face segmentation, a task that is crucial for many downstream applications. The collection and annotation…
Unsupervised Image-to-Image Translation with Generative Prior
Shuai Yang, Liming Jiang, Ziwei Liu +1
Unsupervised image-to-image translation aims to learn the translation between two visual domains without paired data. Despite the recent progress in image translation models, it re…
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing
Yanbo Xu, Yueqin Yin, Liming Jiang +5
Recent advances like StyleGAN have promoted the growth of controllable facial editing. To address its core challenge of attribute decoupling in a single latent space, attempts have…
Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu +1
Recent studies on StyleGAN show high performance on artistic portrait generation by transfer learning with limited data. In this paper, we explore more challenging exemplar-based h…