Image Fine-grained Inpainting

7 Feb 2020 Zheng Hui Jie Li Xiumei Wang Xinbo Gao

Image inpainting techniques have shown promising improvement with the assistance of generative adversarial networks (GANs) recently. However, most of them often suffered from completed results with unreasonable structure or blurriness... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Facial Inpainting FFHQ DMFN LPIPS 0.0457 # 1
PSNR 26.49 # 1
SSIM 0.8985 # 1

Methods used in the Paper


METHOD TYPE
GAN Feature Matching
Regularization
Dropout
Regularization
Dense Connections
Feedforward Networks
ReLU
Activation Functions
Max Pooling
Pooling Operations
Softmax
Output Functions
Convolution
Convolutions
VGG
Convolutional Neural Networks