Search Results for author: Yajing Chen

Found 10 papers, 5 papers with code

Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories

no code implementations13 Sep 2017 Yajing Chen, Shikui Tu, Yuqi Yi, Lei Xu

Moreover, the combination of CNN encoder and removal of KL-divergence, i. e., the sketch-pix2seq model, had better performance in learning and generating sketches of multiple categories and showed promising results in creativity tasks.

MVF-Net: Multi-View 3D Face Morphable Model Regression

1 code implementation CVPR 2019 Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu

The main ingredient of the view alignment loss is a differentiable dense optical flow estimator that can backpropagate the alignment errors between an input view and a synthetic rendering from another input view, which is projected to the target view through the 3D shape to be inferred.

Optical Flow Estimation regression

Self-supervised Learning of Detailed 3D Face Reconstruction

1 code implementation25 Oct 2019 Yajing Chen, Fanzi Wu, Zeyu Wang, Yibing Song, Yonggen Ling, Linchao Bao

The displacement map and the coarse model are used to render a final detailed face, which again can be compared with the original input image to serve as a photometric loss for the second stage.

3D Face Reconstruction Face Alignment +1

High-Fidelity 3D Digital Human Head Creation from RGB-D Selfies

2 code implementations12 Oct 2020 Linchao Bao, Xiangkai Lin, Yajing Chen, Haoxian Zhang, Sheng Wang, Xuefei Zhe, Di Kang, HaoZhi Huang, Xinwei Jiang, Jue Wang, Dong Yu, Zhengyou Zhang

We present a fully automatic system that can produce high-fidelity, photo-realistic 3D digital human heads with a consumer RGB-D selfie camera.

Vocal Bursts Intensity Prediction

New axioms for top trading cycles

no code implementations19 Apr 2021 Siwei Chen, Yajing Chen, Chia-Ling Hsu

School choice is of great importance both in theory and practice.

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

no code implementations CVPR 2021 Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai

In this paper, we propose a new training protocol based on three specific losses which help a translation network to learn a smooth and disentangled latent style space in which: 1) Both intra- and inter-domain interpolations correspond to gradual changes in the generated images and 2) The content of the source image is better preserved during the translation.

Translation Unsupervised Image-To-Image Translation

Truncation strategies in housing markets

no code implementations28 Jun 2021 Yajing Chen, Zhenhua Jiao, Chenfeng Zhang

This paper considers truncation strategies in housing markets.

ISF-GAN: An Implicit Style Function for High-Resolution Image-to-Image Translation

1 code implementation26 Sep 2021 Yahui Liu, Yajing Chen, Linchao Bao, Nicu Sebe, Bruno Lepri, Marco De Nadai

The ISF manipulates the semantics of an input latent code to make the image generated from it lying in the desired visual domain.

Image-to-Image Translation Translation

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