Zijian Du (ZijianDu)

ZijianDu

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Zijian Du's repositories

Diffusion-Models-in-Vision-A-Survey

This repository categorizes the papers about diffusion models applied in computer vision according to their target task. The classifcation is based on our survey: https://arxiv.org/abs/2209.04747v1

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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awesome-low-light-image-enhancement

This is a resouce list for low light image enhancement

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awesome-NeRF

A curated list of awesome neural radiance fields papers

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DeepOD

Deep learning-based outlier/anomaly detection

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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encoder4editing

Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

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EnlightenGAN

[IEEE TIP] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

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ExposureDiffusion

[ICCV 2023] ExposureDiffusion: Learning to Expose for Low-light Image Enhancement

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improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

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Inpaint-Anything

Inpaint anything using Segment Anything and inpainting models.

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ISP-Guide

Image Signal Processing (ISP) Guide

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ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

License:GPL-3.0Stargazers:0Issues:0Issues:0

nerf

Code release for NeRF (Neural Radiance Fields)

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openai-cookbook

Examples and guides for using the OpenAI API

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pygod

A Python Library for Graph Outlier Detection (Anomaly Detection)

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pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

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python-guide

Python best practices guidebook, written for humans.

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pythresh

Outlier Detection Thresholding

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

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Retinexformer

"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 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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stylegan

StyleGAN - Official TensorFlow Implementation

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stylegan2

StyleGAN2 - Official TensorFlow Implementation

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stylegan2-ada-pytorch

StyleGAN2-ADA - Official PyTorch implementation

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stylegan3

Official PyTorch implementation of StyleGAN3

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SUOD

(MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

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