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PEPSI++: Fast and Lightweight Network for Image Inpainting
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the CelebA-HQ, ImageNet, and Place2 datasets. -
Inpaint Anything
The Inpaint Anything dataset is a large-scale image inpainting dataset, containing images with missing regions. -
MisConv: Convolutional Neural Networks for Missing Data
Processing of missing data by modern neural networks, such as CNNs, remains a fundamental, yet unsolved challenge, which naturally arises in many practical applications, like... -
Image Inpainting
The CelebAHQ dataset was used with a fixed removal mask located near the image centers [11]. -
Image Inpainting for Irregular Holes using Partial Convolutions
Image inpainting for irregular holes using partial convolutions. -
Palette: Image-to-Image Diffusion Models
Image-to-image translation is an important and challenging problem in computer vision and image processing. Diffusion models have shown great potentials for high-quality image...
