atranitell

kaiJIN's starred repositories

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Language:PythonMIT912100

CDTNet-High-Resolution-Image-Harmonization

[CVPR 2022] We unify pixel-to-pixel transformation and color-to-color transformation in a coherent framework for high-resolution image harmonization. We also release 100 high-resolution real composite images for evaluation.

Language:Python11200

models

All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.

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neosr

neosr is a framework for training real-world single-image super-resolution networks.

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CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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MLAPP-CN

A Chinese Notes of MLAPP，MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy

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AISP

AI Image SIgnal Processing and Computational Photography - Bokeh Rendering , Reversed ISP Challenge, Model-Based Image Signal Processors via Learnable Dictionaries. Official repo for NTIRE and AIM Challenges

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QRAF

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Awesome-Image-Quality-Assessment

A comprehensive collection of IQA papers

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HiNeRV

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Retrieval-based-Voice-Conversion-WebUI

Easily train a good VC model with voice data <= 10 mins!

Language:PythonMIT2091500

Generative-AI

[TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era

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stable-diffusion-webui

Stable Diffusion web UI

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MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Language:PythonMIT426100

CoDeF

[CVPR 2024 Highlight] Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing

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menpo

A statistical modelling toolkit, providing all the tools required to build, fit, visualize, and test deformable models.

Language:PythonBSD-3-Clause32400

asap

Fast and accurate Active SAmpling method for Pairwise comparisons

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visual_comparison

A comparison tool to aid image/video enhancement research

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NTIRE23_LFSR_DistgEPIT

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HAT

CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer Arxiv - HAT: Hybrid Attention Transformer for Image Restoration

Language:PythonApache-2.0114800

ISP-Guide

Image Signal Processing (ISP) Guide. Learn all about the process of converting an image/video into digital form by performing tasks like noise reduction, filtering, auto exposure, autofocus, HDR correction, and image sharpening with a Specialized type of media processor.

Language:Python31800