Search Results for author: Hongyu Liu

Found 6 papers, 4 papers with code

PD-GAN: Probabilistic Diverse GAN for Image Inpainting

1 code implementation CVPR 2021 Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao

To this end, we propose spatially probabilistic diversity normalization (SPDNorm) inside the modulation to model the probability of generating a pixel conditioned on the context information.

Image Inpainting Image Restoration

DeFLOCNet: Deep Image Editing via Flexible Low-level Controls

1 code implementation CVPR 2021 Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bing Jiang, Wei Liu

While existing methods combine an input image and these low-level controls for CNN inputs, the corresponding feature representations are not sufficient to convey user intentions, leading to unfaithfully generated content.

Texture Synthesis

Effective medium theory for embedded obstacles in elasticity with applications to inverse problems

no code implementations18 Feb 2021 Zhengjian Bai, Huaian Diao, Hongyu Liu, Qingle Meng

We consider the time-harmonic elastic wave scattering from a general (possibly anisotropic) inhomogeneous medium with an embedded impenetrable obstacle.

Analysis of PDEs 35B34, 74E99, 74J20

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

1 code implementation ECCV 2020 Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang

We use CNN features from the deep and shallow layers of the encoder to represent structures and textures of an input image, respectively.

Image Inpainting

One-Stage Inpainting with Bilateral Attention and Pyramid Filling Block

no code implementations18 Dec 2019 Hongyu Liu, Bin Jiang, Wei Huang, Chao Yang

However, the two-stage architecture is time-consuming, the contextual information lack high-level semantics and ignores both the semantic relevance and distance information of hole's feature patches, these limitations result in blurry textures and distorted structures of final result.

Image Inpainting Texture Synthesis

Coherent Semantic Attention for Image Inpainting

1 code implementation ICCV 2019 Hongyu Liu, Bin Jiang, Yi Xiao, Chao Yang

The latest deep learning-based approaches have shown promising results for the challenging task of inpainting missing regions of an image.

Image Inpainting

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