jjjjjgggj

jjjjjgggj's Stars

• Yaziwel/All-In-One-Medical-Image-Restoration-via-Task-Adaptive-Routing

  [MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).

  Language:Python382

• jiangyitong/AutoDIR

  Language:Python571

• mengyu212/JCDM

  Joint Conditional Diffusion Model for Image Restoration with Mixed Degradations

  Language:Python2

• Harbinzzy/All-in-One-Image-Restoration-Survey

  1006

• sudraj2002/GenDeg

  Official code for GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration

  2

• zyc-123/InstanceDiff

  Official Pytorch Implementation of "InstanceDiff: Instance-wise Drift Score-Based Diffusion Model for All-in-one Medical Image Restoration"

  Language:Python1

• vaibhavProject-2412/LSTM-Project

  Prediction of Electricity Consumption Based on Geodemographic Factors Using LSTM Forecasting Model

  Language:Python1

• AStroCvijo/power_consumption_prediction

  Future power consumption prediction using LSTM, GRU and Transformer models

  Language:Python6

• jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

  PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

  Language:Python13822

• SayamAlt/Wind-Solar-Electricity-Production-Forecasting-using-LSTM

  This project forecasts the total wind and solar electricity production using Long Short-Term Memory (LSTM) neural networks implemented in PyTorch. The model leverages time-series data to predict future renewable energy generation, helping to optimize energy management and grid stability.

  Language:Jupyter Notebook1

• dmarulan/DiffusionTransformer

  Language:Python1

• Fayeben/GenerativeDiffusionPrior

  Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)

  Language:Shell27930

• iSEE-Laboratory/DiffUIR

  The official implementation of the paper of CVPR2024: Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model

  Language:Python1208

• zyhrainbow/Diff-Restorer

  Core coders for "Diff-Restorer: Unleashing Visual Prompts for Diffusion-based Universal Image Restoration"

  12

• XLearning-SCU/Awesome-All-In-One-Image-Restoration

  This is a summary of research on All-In-One Image/Video Restoration. There may be omissions. If anything is missing please get in touch with us. Our emails: liboyun.gm@gmail.com; gouyuanbiao@gmail.com; haiyuzhao.gm@gmail.com; wangwenxin.gm@gmail.com

  1445

• va1shn9v/PromptIR

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

  Language:Python36627

• Meng-333/FastDiffSR

  A Conditional Diffusion Model With Fast Sampling Strategy for Remote Sensing Image Super-Resolution

  Language:Python154

• sndnyang/Diffusion_ViT

  PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"

  Language:Python483

• LuigiSigillo/ShipinSight

  Official PyTorch repository for Ship in Sight: Diffusion Models for Ship-Image Super Resolution, WCCI 2024.

  Language:Jupyter Notebook142

• littlebeen/ASDDPM-Adaptive-Semantic-Enhanced-DDPM

  The code for Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution

  Language:Python341

• wyf0912/SinSR

  [CVPR 2024] SinSR: Diffusion-Based Image Super-Resolution in a Single Step

  Language:Python36921

• Ree1s/IDM

  Language:Python30424

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.2k3.1k

• baofff/U-ViT

  A PyTorch implementation of the paper "All are Worth Words: A ViT Backbone for Diffusion Models".

  Language:Jupyter Notebook94663

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.6k592

• xiaoxiao1997/TransDiff

  Medical Image Segmentation Method Based on Swin Transformer with Diffusion Probabilistic Model

  Language:Python92

• Suanmd/LWTDM

  Language:Python121

• huanglab-research/PassSR

  Language:Python4

• csslc/CCSR

  Official codes of CCSRv2 and CCSRv1: Improving the Stability and Efficiency of Diffusion Models for Content Consistent Super-Resolution

  Language:Python48438

• yernat-assylbekov/Artifact-Removal-with-CNN-in-Low-Dose-Computed-Tomography

  Removing artifacts with U-Net type network in low dose CT

  Language:Python73