Search Results for author: Jianxin Lin

Found 15 papers, 5 papers with code

Image-to-Image Translation: Methods and Applications

no code implementations21 Jan 2021 Yingxue Pang, Jianxin Lin, Tao Qin, Zhibo Chen

Image-to-image translation (I2I) aims to transfer images from a source domain to a target domain while preserving the content representations.

Image-to-Image Translation Pose Estimation +2

LIRA: Lifelong Image Restoration from Unknown Blended Distortions

no code implementations ECCV 2020 Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen

Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task.

Image Restoration SSIM

TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

1 code implementation ECCV 2020 Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo

With TuiGAN, an image is translated in a coarse-to-fine manner where the generated image is gradually refined from global structures to local details.

Translation Unsupervised Image-To-Image Translation

Learning to Transfer: Unsupervised Meta Domain Translation

1 code implementation1 Jun 2019 Jianxin Lin, Yijun Wang, Tianyu He, Zhibo Chen

Unsupervised domain translation has recently achieved impressive performance with Generative Adversarial Network (GAN) and sufficient (unpaired) training data.

Meta-Learning Translation

Image-to-Image Translation with Multi-Path Consistency Regularization

no code implementations29 May 2019 Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen

In this work, we introduce a new kind of loss, multi-path consistency loss, which evaluates the differences between direct translation $\mathcal{D}_s\to\mathcal{D}_t$ and indirect translation $\mathcal{D}_s\to\mathcal{D}_a\to\mathcal{D}_t$ with $\mathcal{D}_a$ as an auxiliary domain, to regularize training.

Face to Face Translation Image-to-Image Translation +1

Sequential Gating Ensemble Network for Noise Robust Multi-Scale Face Restoration

1 code implementation19 Dec 2018 Zhibo Chen, Jianxin Lin, Tiankuang Zhou, Feng Wu

The SGU sequentially takes information from two different levels as inputs and decides the output based on one active input.

Ensemble Learning Image Restoration

Unsupervised Single Image Deraining with Self-supervised Constraints

no code implementations21 Nov 2018 Xin Jin, Zhibo Chen, Jianxin Lin, Zhikai Chen, Wei Zhou

Most existing single image deraining methods require learning supervised models from a large set of paired synthetic training data, which limits their generality, scalability and practicality in real-world multimedia applications.

Single Image Deraining

DeepIR: A Deep Semantics Driven Framework for Image Retargeting

no code implementations19 Nov 2018 Jianxin Lin, Tiankuang Zhou, Zhibo Chen

We present \emph{Deep Image Retargeting} (\emph{DeepIR}), a coarse-to-fine framework for content-aware image retargeting.

Distribution Discrepancy Maximization for Image Privacy Preserving

no code implementations18 Nov 2018 Sen Liu, Jianxin Lin, Zhibo Chen

Accordingly, we introduce a collaborative training scheme: a discriminator $D$ is trained to discriminate the reconstructed image from the encrypted image, and an encryption model $G_e$ is required to generate these two kinds of images to maximize the recognition rate of $D$, leading to the same training objective for both $D$ and $G_e$.

Multi-Scale Face Restoration with Sequential Gating Ensemble Network

no code implementations6 May 2018 Jianxin Lin, Tiankuang Zhou, Zhibo Chen

Experiment results demonstrate that our SGEN is more effective at multi-scale human face restoration with more image details and less noise than state-of-the-art image restoration models.

Ensemble Learning Face Recognition +1

Conditional Image-to-Image Translation

no code implementations CVPR 2018 Jianxin Lin, Yingce Xia, Tao Qin, Zhibo Chen, Tie-Yan Liu

In this paper, we study a new problem, conditional image-to-image translation, which is to translate an image from the source domain to the target domain conditioned on a given image in the target domain.

Image-to-Image Translation Translation

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding

no code implementations NeurIPS 2017 Yingce Xia, Fei Tian, Lijun Wu, Jianxin Lin, Tao Qin, Nenghai Yu, Tie-Yan Liu

In this work, we introduce the deliberation process into the encoder-decoder framework and propose deliberation networks for sequence generation.

Image Captioning Machine Translation +2

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