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Image Inpainting

52 papers with code · Computer Vision

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Latest papers with code

Flow Models for Arbitrary Conditional Likelihoods

13 Sep 2019lupalab/ACFlow

Understanding the dependencies among features of a dataset is at the core of most unsupervised learning tasks.

IMAGE INPAINTING IMPUTATION

0
13 Sep 2019

Edge-Informed Single Image Super-Resolution

11 Sep 2019knazeri/edge-informed-sisr

We use a two-stage inpainting model as a baseline for super-resolution and show its effectiveness for different scale factors (x2, x4, x8) compared to basic interpolation schemes.

IMAGE INPAINTING IMAGE SUPER-RESOLUTION

29
11 Sep 2019

Image Inpainting with Learnable Bidirectional Attention Maps

3 Sep 2019Vious/LBAM_inpainting

Most convolutional network (CNN)-based inpainting methods adopt standard convolution to indistinguishably treat valid pixels and holes, making them limited in handling irregular holes and more likely to generate inpainting results with color discrepancy and blurriness.

IMAGE INPAINTING

7
03 Sep 2019

Copy-and-Paste Networks for Deep Video Inpainting

30 Aug 2019seoungwugoh/opn-demo

We propose a novel DNN-based framework called the Copy-and-Paste Networks for video inpainting that takes advantage of additional information in other frames of the video.

IMAGE INPAINTING LANE DETECTION VIDEO INPAINTING

8
30 Aug 2019

Indoor Depth Completion with Boundary Consistency and Self-Attention

22 Aug 2019patrickwu2/Depth-Completion

We utilize self-attention mechanism, previously used in image inpainting fields, to extract more useful information in each layer of convolution so that the complete depth map is enhanced.

DEPTH COMPLETION DEPTH ESTIMATION IMAGE INPAINTING

7
22 Aug 2019

StructureFlow: Image Inpainting via Structure-aware Appearance Flow

11 Aug 2019RenYurui/StructureFlow

Image inpainting techniques have shown significant improvements by using deep neural networks recently.

IMAGE INPAINTING TEXTURE SYNTHESIS

59
11 Aug 2019

deepCR: Cosmic Ray Rejection with Deep Learning

22 Jul 2019profjsb/deepCR

We demonstrate that at a false positive rate of 0. 5%, deepCR achieves close to 100% detection rates in both extragalactic and globular cluster fields, and 91% in resolved galaxy fields, which is a significant improvement over the current state-of-the-art method LACosmic.

BENCHMARKING IMAGE INPAINTING

14
22 Jul 2019

Generative Modeling by Estimating Gradients of the Data Distribution

12 Jul 2019ermongroup/ncsn

We introduce a new generative model where samples are produced via Langevin dynamics using gradients of the data distribution estimated with score matching.

IMAGE GENERATION IMAGE INPAINTING

126
12 Jul 2019

Learnable Gated Temporal Shift Module for Deep Video Inpainting

2 Jul 2019amjltc295/Free-Form-Video-Inpainting

How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video inpainting problems.

IMAGE INPAINTING VIDEO INPAINTING

122
02 Jul 2019