activity
20192021
most citedSingle-Shot Motion Completion with Transformer

29 citations · 41 across the 9 of their papers we have counts for

collaborators

10 papers

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.CV202129 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.CV20201 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.CV20202 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.CV20206 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…