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Type: Organization
Type: Organization
A curated list of awesome computer vision resources
A paper list of image inpainting.
[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
[CVPR 2021] EII: Image Inpainting with External-Internal Learning and Monochromic Bottleneck
High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis
[WACV 2023] Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
The source code of CVPR17 'Generative Face Completion'.
(WACV 2021) Hyperrealistic Image Inpainting with Hypergraphs
Inpainting consists in removing objects from images and filling the empty regions in a plausible way. Based on Criminisi et al.
A paper summary of image inpainting
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
High-Resolution Image Synthesis with Latent Diffusion Models
Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)
MAT: Mask-Aware Transformer for Large Hole Image Inpainting
Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes (ICCV 2021)
NTIRE 2022 - Image Inpainting Challenge
A New Padding Scheme: Partial Convolution based Padding
[CVPR'2019] PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
The Places365-CNNs for Scene Classification
CVPR 2019: "Pluralistic Image Completion"
Semantic Image Inpainting with Progressive Generative Networks
The code for our paper Progressive Reconstruction of Visual Structure for Image Inpainting will be released soon.
Paper 'Reduce Information Loss in Transformers for Pluralistic Image Inpainting' in CVPR2022
A lightweight image inpainting tool in python.
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Open source projects and samples from Microsoft.
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