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20 search results found

Hrnet Semantic Segmentation ⭐ 2,714

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Restormer ⭐ 1,150

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Patchfusion ⭐ 769

An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation

Efficientvit ⭐ 732

EfficientViT is a new family of vision models for efficient high-resolution vision.

Cascadepsp ⭐ 622

[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

Aot Gan For Inpainting ⭐ 310

[TVCG] AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

Inspyrenet ⭐ 222

Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)

[ECCV22] Official Implementation of HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation

This is an official implementation for "Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors“

Mirnetv2 ⭐ 113

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

Cfsrcnn ⭐ 109

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2021)

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

Photographicimagesynthesiswithcascadedrefinementnetworks Pytorch ⭐ 56

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision 🎨

Foveation Segmentation ⭐ 33

PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images

Block Shuffle ⭐ 31

A method for high-resolution Fast Style Transfer with limited memory

python Generator of REnewable Time series and mAps

Super Resolution Srdpns Tensorflow ⭐ 22

My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks

Keras Rnn Music Super Resolution ⭐ 9

DeepLearningで音楽をアップサンプリングします

Utrnet High Resolution Urdu Text Recognition ⭐ 8

UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)

Waveletvfi ⭐ 7

Dynamic Frame Interpolation in Wavelet Domain (TIP 2023)

Pytorch Super Resolution ⭐ 6

Super Resolution of low resolution Images in PyTorch

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