bluehyena

bluehyena's Stars

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.9k9851903.4k

• CMU-Perceptual-Computing-Lab/openpose

  OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

  Language:C++32.2k9192k7.9k

• lllyasviel/ControlNet

  Let us control diffusion models!

  Language:Python31.9k2235642.8k

• huggingface/diffusers

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

  Language:Python28.3k2094.7k5.8k

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook12.6k983561.6k

• lllyasviel/ControlNet-v1-1-nightly

  Nightly release of ControlNet 1.1

  Language:Python5k62130393

• zju3dv/EasyMocap

  Make human motion capture easier.

  Language:Python3.9k92420472

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.5k53117346

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3.4k25329472

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.3k3886402

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python2.2k17114470

• widgetti/solara

  A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps

  Language:Python2k23397152

• amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

  Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

  1.7k3912156

• weihaox/awesome-image-translation

  Collection of awesome resources on image-to-image translation.

  1.2k630124

• MIC-DKFZ/batchgenerators

  A framework for data augmentation for 2D and 3D image classification and segmentation

  Language:Jupyter Notebook1.1k33103226

• PeterWang512/CNNDetection

  Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/

  Language:Python8952135178

• Project-MONAI/GenerativeModels

  MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

  Language:Jupyter Notebook6712126695

• KevinLTT/video2bvh

  Extracts human motion in video and save it as bvh mocap file.

  Language:Python591175593

• Seonghoon-Yu/AI_Paper_Review

  까먹으면 다시 보려고 정리합니다.

  Language:Jupyter Notebook3208256

• hq-deng/RD4AD

  Anomaly Detection via Reverse Distillation from One-Class Embedding

  Language:Python19913333

• tientrandinh/Revisiting-Reverse-Distillation

  (CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection

  Language:Python13721727

• AndyShih12/paradigms

  PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight

  Language:Python132357

• chuangchuangtan/LGrad

  Code for the paper: Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

  Language:Python903717

• marco-rudolph/AST

  This is the code to the WACV 2023 paper "Asymmetric Student-Teacher Networks for Industrial Anomaly Detection" by Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn and Bastian Wandt.

  Language:Python7712411

• DIG-Beihang/XrayDetection

  Language:HTML742016

• HiXray-author/HiXray

  Language:Python61088

• Warvito/generative_monai

  Official implementation for "Generative AI for Medical Imaging: extending the MONAI Framework"

  49207

• gdwang08/STFPM

  Code for the paper entitled "Student-Teacher Feature Pyramid Matching for Anomaly Detection" (BMVC 2021)

  Language:Python26166

• mananrai/Tensorflow-Openpose

  Deep Learning Pose Estimation library using Tensorflow with several models for faster inference on CPUs

  Language:Python241412

• SDJustus/CAIE-Anomaly-Detection

  This repo contains code for the paper: Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models

  2100