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Image Inpainting

70 papers with code ยท Computer Vision
Subtask of Image Generation

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High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

24 May 2020

To address this challenge, we propose an iterative inpainting method with a feedback mechanism.

IMAGE INPAINTING

Neural Image Inpainting Guided with Descriptive Text

7 Apr 2020

First, a dual multi-modal attention mechanism is designed to extract the explicit semantic information about corrupted regions.

IMAGE INPAINTING SEMANTIC SIMILARITY SEMANTIC TEXTUAL SIMILARITY TEXT MATCHING

GAN-based Priors for Quantifying Uncertainty

27 Mar 2020

Bayesian inference is used extensively to quantify the uncertainty in an inferred field given the measurement of a related field when the two are linked by a mathematical model.

BAYESIAN INFERENCE IMAGE CLASSIFICATION IMAGE DENOISING IMAGE INPAINTING OUT-OF-DISTRIBUTION DETECTION

A Generative Learning Approach for Spatio-temporal Modeling in Connected Vehicular Network

16 Mar 2020

Spatio-temporal modeling of wireless access latency is of great importance for connected-vehicular systems.

IMAGE INPAINTING

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

15 Mar 2020

Completing a corrupted image with correct structures and reasonable textures for a mixed scene remains an elusive challenge.

IMAGE INPAINTING SEMANTIC SEGMENTATION TEXTURE SYNTHESIS

VCNet: A Robust Approach to Blind Image Inpainting

15 Mar 2020

Blind inpainting is a task to automatically complete visual contents without specifying masks for missing areas in an image.

IMAGE INPAINTING

GPU-Accelerated Mobile Multi-view Style Transfer

2 Mar 2020

The success of 3D Photo platforms (Facebook 3D Photo, Holopix, etc) depend on a steady influx of user generated content.

IMAGE INPAINTING LEARNING REPRESENTATION OF MULTI-VIEW DATA LIGHTFIELD NOVEL VIEW SYNTHESIS STYLE TRANSFER

Learning to Inpaint by Progressively Growing the Mask Regions

21 Feb 2020

This work introduces a new curriculum-style training approach in the context of image inpainting.

IMAGE INPAINTING

Learning to Incorporate Structure Knowledge for Image Inpainting

11 Feb 2020

This paper develops a multi-task learning framework that attempts to incorporate the image structure knowledge to assist image inpainting, which is not well explored in previous works.

IMAGE INPAINTING MULTI-TASK LEARNING

Pixel-wise Conditioned Generative Adversarial Networks for Image Synthesis and Completion

4 Feb 2020

We investigate the influence of this regularization term on the quality of the generated images and the fulfillment of the given pixel constraints.

IMAGE INPAINTING