29 citations · 51 across the 13 of their papers we have counts for
7 papers · 1 filter
NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram
Zhengxia Zou, Tianyang Shi, Yi Yuan +1
An autostereogram, a.k.a. magic eye image, is a single-image stereogram that can create visual illusions of 3D scenes from 2D textures. This paper studies an interesting question t…
Stylized Neural Painting
Zhengxia Zou, Tianyang Shi, Shuang Qiu +2
This paper proposes an image-to-painting translation method that generates vivid and realistic painting artworks with controllable styles. Different from previous image-to-image tr…
Semi-Supervised Learning for In-Game Expert-Level Music-to-Dance Translation
Yinglin Duan, Tianyang Shi, Zhengxia Zou +6
Music-to-dance translation is a brand-new and powerful feature in recent role-playing games. Players can now let their characters dance along with specified music clips and even ge…
Unsupervised Learning Facial Parameter Regressor for Action Unit Intensity Estimation via Differentiable Renderer
Xinhui Song, Tianyang Shi, Zunlei Feng +5
Facial action unit (AU) intensity is an index to describe all visually discernible facial movements. Most existing methods learn intensity estimator with limited AU data, while the…
Neutral Face Game Character Auto-Creation via PokerFace-GAN
Tianyang Shi, Zhengxia Zou, Xinhui Song +4
Game character customization is one of the core features of many recent Role-Playing Games (RPGs), where players can edit the appearance of their in-game characters with their pref…
Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation
Tianyang Shi, Zhengxia Zou, Yi Yuan +1
With the rapid development of Role-Playing Games (RPGs), players are now allowed to edit the facial appearance of their in-game characters with their preferences rather than using…
Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization
Xinhui Song, Tianyang Shi, Tianjia Shao +3
The automatic intensity estimation of facial action units (AUs) from a single image plays a vital role in facial analysis systems. One big challenge for data-driven AU intensity es…