LisaTsai

LisaTsai's Stars

• changruowang/SR_GPP

  项目中需要的SR超分辨率论文 Image Super-Resolution using Gradient Profile Prior C++实现

  Language:C++115

• wenbihan/reproducible-image-denoising-state-of-the-art

  Collection of popular and reproducible image denoising works.

  2.4k509

• megvii-research/NAFNet

  The state-of-the-art image restoration model without nonlinear activation functions.

  Language:Python2.2k266

• ckkelvinchan/BasicVSR_PlusPlus

  Official repository of "BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment"

  Language:Python58563

• nmhkahn/CARN-pytorch

  Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

  Language:Python35974

• assafshocher/ZSSR

  "Zero-Shot" Super-Resolution using Deep Internal Learning

  Language:Python399102

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.6k1.2k

• cszn/BSRGAN

  Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

  Language:Python1.2k178

• JingyunLiang/SwinIR

  SwinIR: Image Restoration Using Swin Transformer (official repository)

  Language:Python4.3k531

• cszn/KAIR

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

  Language:Python2.9k617

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python27.6k3.5k

• mv-lab/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

  Language:Jupyter Notebook33735

• aiff22/PyNET-PyTorch

  Generating RGB photos from RAW image files with PyNET (PyTorch)

  Language:Python34256

• NVlabs/ffhq-dataset

  Flickr-Faces-HQ Dataset (FFHQ)

  Language:Python3.7k576

• luanfujun/deep-photo-styletransfer

  Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

  Language:Matlab10k1.4k

• clovaai/WCT2

  Software that can perform photorealistic style transfer without the need of any post-processing steps.

  Language:Python868143

• ZHKKKe/NeuralPreset

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

  Language:Python26119

• OpenTalker/SadTalker

  [CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

  Language:Python11.6k2.2k

• lessandro/nbis

  NIST Biometric Image Software (mirror)

  Language:C7173

• MCG-NKU/E2FGVI

  Official code for "Towards An End-to-End Framework for Flow-Guided Video Inpainting" (CVPR2022)

  Language:Python1k97

• anilsathyan7/Portrait-Segmentation

  Real-time portrait segmentation for mobile devices

  Language:Jupyter Notebook641132

• JiaRenChang/PSMNet

  Pyramid Stereo Matching Network (CVPR2018)

  Language:Python1.4k423

• DenchiSoft/VTubeStudio

  VTube Studio API Development Page

  Language:C#81977

• yjn870/FSRCNN-pytorch

  PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)

  Language:Python20958

• Xilinx/Vitis-AI-Tutorials

  370144

• Xilinx/Vitis-AI

  Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

  Language:Python1.4k624

• openai/improved-diffusion

  Release for Improved Denoising Diffusion Probabilistic Models

  Language:Python3.1k476

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.8k8k

• cleardusk/3DDFA

  The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

  Language:Python3.6k651

• baegwangbin/surface_normal_uncertainty

  [ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

  Language:Python22222