29 citations · 51 across the 13 of their papers we have counts for
13 papers
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions
Shiyu Shen, Bin Pan, Tianyang Shi +2
Domain invariant learning aims to learn models that extract invariant features over various training domains, resulting in better generalization to unseen target domains. Recently,…
Be Bayesian by Attachments to Catch More Uncertainty
Shiyu Shen, Bin Pan, Tianyang Shi +2
Bayesian Neural Networks (BNNs) have become one of the promising approaches for uncertainty estimation due to the solid theorical foundations. However, the performance of BNNs is a…
ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling
Kai Yang, Hong Shang, Tianyang Shi +4
The research fields of parametric face model and 3D face reconstruction have been extensively studied. However, a critical question remains unanswered: how to tailor the face model…
Multi-view 3D Reconstruction with Transformer
Dan Wang, Xinrui Cui, Xun Chen +5
Deep CNN-based methods have so far achieved the state of the art results in multi-view 3D object reconstruction. Despite the considerable progress, the two core modules of these me…
Single-Shot Motion Completion with Transformer
Yinglin Duan, Tianyang Shi, Zhengxia Zou +4
Motion completion is a challenging and long-discussed problem, which is of great significance in film and game applications. For different motion completion scenarios (in-betweenin…
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…
Face-to-Parameter Translation for Game Character Auto-Creation
Tianyang Shi, Yi Yuan, Changjie Fan +3
Character customization system is an important component in Role-Playing Games (RPGs), where players are allowed to edit the facial appearance of their in-game characters with thei…