Search Results for author: Tianyang Shi

Found 14 papers, 4 papers with code

Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions

no code implementations25 Oct 2023 Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi

We first propose a theorem to show that the invariant posterior of parameters can be implicitly inferred by aggregating posteriors on different training domains.

Domain Generalization Variational Inference

Be Bayesian by Attachments to Catch More Uncertainty

no code implementations19 Oct 2023 Shiyu Shen, Bin Pan, Tianyang Shi, Tao Li, Zhenwei Shi

Bayesian Neural Networks (BNNs) have become one of the promising approaches for uncertainty estimation due to the solid theorical foundations.

Multi-view 3D Reconstruction with Transformer

no code implementations24 Mar 2021 Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward

Unlike previous CNN-based methods using a separate design, we unify the feature extraction and view fusion in a single Transformer network.

3D Object Reconstruction 3D Reconstruction +1

Single-Shot Motion Completion with Transformer

1 code implementation1 Mar 2021 Yinglin Duan, Tianyang Shi, Zhengxia Zou, Yenan Lin, Zhehui Qian, Bohan Zhang, Yi Yuan

Motion completion is a challenging and long-discussed problem, which is of great significance in film and game applications.

Motion Synthesis

Multi-View 3D Reconstruction With Transformers

no code implementations ICCV 2021 Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward

Unlike previous CNN-based methods using a separate design, we unify the feature extraction and view fusion in a single Transformer network.

3D Object Reconstruction 3D Reconstruction +1

NeuralMagicEye: Learning to See and Understand the Scene Behind an Autostereogram

1 code implementation31 Dec 2020 Zhengxia Zou, Tianyang Shi, Yi Yuan, Zhenwei Shi

This paper studies an interesting question that whether a deep CNN can be trained to recover the depth behind an autostereogram and understand its content.

Stylized Neural Painting

4 code implementations CVPR 2021 Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi

Different from previous image-to-image translation methods that formulate the translation as pixel-wise prediction, we deal with such an artistic creation process in a vectorized environment and produce a sequence of physically meaningful stroke parameters that can be further used for rendering.

Disentanglement Image-to-Image Translation +2

Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation

no code implementations17 Aug 2020 Tianyang Shi, Zhengxia Zou, Yi Yuan, Changjie Fan

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 default templates.

3D Face Reconstruction Face Verification +3

Neutral Face Game Character Auto-Creation via PokerFace-GAN

1 code implementation17 Aug 2020 Tianyang Shi, Zhengxia Zou, Xinhui Song, Zheng Song, Changjian Gu, Changjie Fan, Yi Yuan

Besides, the neural network based renderer used in previous methods is also difficult to be extended to multi-view rendering cases.

Self-Supervised Learning

Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization

no code implementations13 Apr 2020 Xinhui Song, Tianyang Shi, Tianjia Shao, Yi Yuan, Zunlei Feng, Changjie Fan

The generator learns to "render" a face image from a set of facial parameters in a differentiable way, and the feature extractor extracts deep features for measuring the similarity of the rendered image and input real image.

Face-to-Parameter Translation for Game Character Auto-Creation

no code implementations ICCV 2019 Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong liu

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 their own preferences rather than using default templates.

Style Transfer Translation

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