dgjung0220

dgjung0220's Stars

• dongjinkim9/NAFlow

  sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows, in ICLR 2024

  Language:Python21

• dongjinkim9/InterFlow

  Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows, in ICML 2023

  Language:Python10

• JingHao99/IDR-Ingredients-oriented-Degradation-Reformulation

  Language:Python13

• ZHKKKe/NeuralPreset

  AI-Generated Presets for Faithful 4K Color Style Transfer in Real Time [CVPR 2023]

  Language:Python26619

• Li-Chongyi/UHDFour_code

  Language:Python496

• KevinJ-Huang/ExposureNorm-Compensation

  CVPR2022 (official implementation of "Exposure Normalization and Compensation for Multiple-Exposure Correction")

  Language:Python224

• fengzhang427/LRD

  Official implementation for our ICCV 2023 paper “Towards General Low-Light Raw Noise Synthesis and Modeling”

  Language:Python613

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k296

• JianghaiSCU/Diffusion-Low-Light

  Official pytorch implementation for "Low-light Image Enhancement with Wavelet-based Diffusion Models"

  Language:Python17525

• AndersonYong/URetinex-Net

  Code Released for URetinex-Net

  Language:Python16813

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.2k822

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python4.7k147

• joeylitalien/noise2noise-pytorch

  PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

  Language:Python29760

• Wang-XIaoDingdd/LGBPN

  LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising (CVPR 2023)

  Language:Python475

• vsitzmann/siren

  Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

  Language:Python1.7k247

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.8k934

• huggingface/diffusion-models-class

  Materials for the Hugging Face Diffusion Models Course

  Language:Jupyter Notebook3.6k385

• tianyic/only_train_once_personal_footprint

  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM

  Language:Python28846

• byeonghu-na/INDM

  Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.

  Language:Python406

• huawei-noah/Efficient-AI-Backbones

  Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

  Language:Python4k700

• GarrickZ2/Image-Denoising

  Language:Jupyter Notebook282

• volflow/DeFlow

  Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows

  Language:Python937

• chrischute/glow

  Implementation of Glow in PyTorch

  Language:Python7920

• 5yearsKim/Conditional-Normalizing-Flow

  Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model

  Language:Python695

• cszn/KAIR

  Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

  Language:Python2.9k624

• dongminlee94/meta-learning-for-everyone

  "모두를 위한 메타러닝" 책에 대한 코드 저장소

  Language:Jupyter Notebook9823

• DarrenPan/Awesome-CVPR2024-Low-Level-Vision

  A Collection of Papers and Codes in CVPR2023/2022 about low level vision

  64950

• kzl/decision-transformer

  Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

  Language:Python2.3k446

• astooke/rlpyt

  Reinforcement Learning in PyTorch

  Language:Python2.2k323

• MushroomRL/mushroom-rl

  Python library for Reinforcement Learning.

  Language:Python810146