41 citations · 117 across the 19 of their papers we have counts for
20 papers
Anchor3DGS: Feed-Forward 3D Gaussian Splatting with Compact Anchor-Based Representation
Sheng Ye, Jiangke Lin, Fudong Wang +3
Recent feed-forward 3D Gaussian Splatting (3DGS) methods have enabled effective multi-view 3D reconstruction by predicting Gaussian primitives in a single forward pass. However, ex…
High-Quality 3D Face Reconstruction with Affine Convolutional Networks
Zhiqian Lin, Jiangke Lin, Lincheng Li +2
Recent works based on convolutional encoder-decoder architecture and 3DMM parameterization have shown great potential for canonical view reconstruction from a single input image. C…
Learning Implicit Body Representations from Double Diffusion Based Neural Radiance Fields
Guangming Yao, Hongzhi Wu, Yi Yuan +3
In this paper, we present a novel double diffusion based neural radiance field, dubbed DD-NeRF, to reconstruct human body geometry and render the human body appearance in novel vie…
In-game Residential Home Planning via Visual Context-aware Global Relation Learning
Lijuan Liu, Yin Yang, Yi Yuan +3
In this paper, we propose an effective global relation learning algorithm to recommend an appropriate location of a building unit for in-game customization of residential home comp…
MeInGame: Create a Game Character Face from a Single Portrait
Jiangke Lin, Yi Yuan, Zhengxia Zou
Many deep learning based 3D face reconstruction methods have been proposed recently, however, few of them have applications in games. Current game character customization systems e…
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation
Jilin Tang, Yi Yuan, Tianjia Shao +3
In this paper we tackle the problem of pose guided person image generation, which aims to transfer a person image from the source pose to a novel target pose while maintaining the…
One-shot Face Reenactment Using Appearance Adaptive Normalization
Guangming Yao, Yi Yuan, Tianjia Shao +5
The paper proposes a novel generative adversarial network for one-shot face reenactment, which can animate a single face image to a different pose-and-expression (provided by a dri…
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…
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation
Xiaoyang Lyu, Liang Liu, Mengmeng Wang +5
Self-supervised learning shows great potential in monoculardepth estimation, using image sequences as the only source ofsupervision. Although people try to use the high-resolutioni…
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…
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks
Guangming Yao, Yi Yuan, Tianjia Shao +1
Face reenactment aims to animate a source face image to a different pose and expression provided by a driving image. Existing approaches are either designed for a specific identity…
Dynamic Future Net: Diversified Human Motion Generation
Wenheng Chen, He Wang, Yi Yuan +2
Human motion modelling is crucial in many areas such as computer graphics, vision and virtual reality. Acquiring high-quality skeletal motions is difficult due to the need for spec…
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…
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…
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry
Yifan Xu, Tianqi Fan, Yi Yuan +1
Deep implicit field regression methods are effective for 3D reconstruction from single-view images. However, the impact of different sampling patterns on the reconstruction quality…
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…
Towards High-Fidelity 3D Face Reconstruction from In-the-Wild Images Using Graph Convolutional Networks
Jiangke Lin, Yi Yuan, Tianjia Shao +1
3D Morphable Model (3DMM) based methods have achieved great success in recovering 3D face shapes from single-view images. However, the facial textures recovered by such methods lac…
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…
Audio2Face: Generating Speech/Face Animation from Single Audio with Attention-Based Bidirectional LSTM Networks
Guanzhong Tian, Yi Yuan, Yong liu
We propose an end to end deep learning approach for generating real-time facial animation from just audio. Specifically, our deep architecture employs deep bidirectional long short…