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Search results for pytorch low level vision

low-level-vision x

29 search results found

Nafnet ⭐ 1,742

The state-of-the-art image restoration model without nonlinear activation functions.

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.

Mprnet ⭐ 1,018

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Deblurganv2 ⭐ 977

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Daclip Uir ⭐ 441

PyTorch code for "Controlling Vision-Language Models for Universal Image Restoration", ICLR 2024.

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

Cycleisp ⭐ 364

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Illumination Adaptive Transformer ⭐ 359

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-processing.

Ranksrgan ⭐ 244

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

Promptir ⭐ 215

PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

Fast Vqa And Fastervqa ⭐ 183

[ECCV2022, TPAMI2023] FAST-VQA, and its extended version FasterVQA.

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur

Ridcp_dehazing ⭐ 138

[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Docdiff ⭐ 116

ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.

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)

[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising

Deep Learning On Image Denoising An Overview ⭐ 81

Deep Learning on Image Denoising: An overview (Neural Networks, 2020)

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

Official PyTorch code and dataset of the paper "Local Color Distributions Prior for Image Enhancement" [ECCV2022]

Transweather ⭐ 65

Pytorch Code for the paper TransWeather - CVPR 2022

Official repository of DeMFI (ECCV 2022).

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Trident Dehazing Network ⭐ 18

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

Generative Adversarial Networks For Image Super Resolution A Survey ⭐ 16

Generative Adversarial Networks for Image Super-Resolution: A Survey

Official implementation of the CVPR'23 Paper "ABCD : Arbitrary Bitwise Coefficient for De-quantization"

Textdiff ⭐ 11

Official code implementation of " TextDiff: Mask-Guided Residual Diffusion Models for Scene Text Image "

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