activity
20192023
most citedSingle-Shot Motion Completion with Transformer

29 citations · 51 across the 13 of their papers we have counts for

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11 papers · 1 filter

cs.CV2023

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…

cs.CV2021

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…

cs.CV2021★ 29 cited

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…

cs.CV2020

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…

cs.CV2020★ 1 cited

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…

cs.CV2020★ 2 cited

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…

cs.CV2020★ 6 cited

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…

cs.CV2020★ 1 cited

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…

cs.CV2020★ 1 cited

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…

cs.CV2020★ 1 cited

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…

cs.CV2019★ 10 cited

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…