yulei1234

yulei1234

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InstantID

InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

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ISP-pipeline-hdrplus

Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

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WeatherDiffusion

Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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SRP

[ICLR'22] PyTorch code for our paper "Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning"

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runsenlearnpy100

# Python从小白变成大师教程(共十五万字)

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CodeFormer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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Image-Super-Resolution-via-Iterative-Refinement

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

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hdr-plus

HDR+ Implementation

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D2C-SR

Official MegEngine implementation of ECCV2022 "D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution".

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SPLUT

Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution

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Awesome-ECCV2022-Low-Level-Vision

A Collection of Papers and Codes in ECCV2022 about low level vision

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SR_Mobile_Quantization

Winner solution of mobile AI (CVPRW 2021).

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Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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Awesome-Super-Resolution

Collect super-resolution related papers, data, repositories

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LDL

Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022

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DCLS-SR

Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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DCLS

"Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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UDL

PyTorch code for NeurIPS2021 paper "Uncertainty-Driven Loss for Single Image Super-Resolution"

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MegSpot

MegSpot是一款高效、专业、跨平台的图片&视频对比应用

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learnopencv

Learn OpenCV : C++ and Python Examples

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Image-Contrast-Enhancement

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

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Adaptive-Downsampling-Model

Official implementation for 'Toward Real-World Super-Resolution via Adaptive Downsampling Models' (TPAMI)

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EBSR

Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).

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