Woody-Wan

Woody-Wan's Stars

• facebookresearch/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.

  Language:Jupyter Notebook49.6k3136925.9k

• szagoruyko/pytorchviz

  A small package to create visualizations of PyTorch execution graphs

  Language:Jupyter Notebook3.3k3064285

• cybertronai/gradient-checkpointing

  Make huge neural nets fit in memory

  Language:Python2.8k8042271

• megvii-research/NAFNet

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

  Language:Python2.5k23157311

• ndrplz/ConvLSTM_pytorch

  Implementation of Convolutional LSTM in PyTorch.

  Language:Python2.1k1929437

• justinpinkney/stable-diffusion

  Language:Jupyter Notebook1.5k2280270

• tancik/fourier-feature-networks

  Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

  Language:Jupyter Notebook1.3k2520137

• cszn/USRNet

  Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

  Language:Python8813731115

• tancik/StegaStamp

  Invisible Hyperlinks in Physical Photographs

  Language:Python7371666198

• LIVIAETS/boundary-loss

  Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

  Language:Python68096197

• SiatMMLab/Awesome-Diffusion-Model-Based-Image-Editing-Methods

  Diffusion Model-Based Image Editing: A Survey (TPAMI 2025)

  592181238

• XingangPan/deep-generative-prior

  Code for deep generative prior (ECCV2020 oral)

  Language:Python499121370

• suxuann/ddib

  Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

  Language:Python38531933

• ando-khachatryan/HiDDeN

  Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

  Language:Python36092987

• csdwren/SelfDeblur

  Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

  Language:Python354131870

• czbiohub-sf/noise2self

  A framework for blind denoising with self-supervision.

  Language:Jupyter Notebook345161076

• DAI-Lab/SteganoGAN

  SteganoGAN is a tool for creating steganographic images using adversarial training.

  Language:Python331195594

• DAI-Lab/RivaGAN

  Robust video watermarking with non-differentiable adversaries.

  Language:Python285101242

• jirenz/HiDDeN

  HiDDeN: Hiding Data with Deep Networks.

  Language:Lua9651013

• NVlabs/RED-diff

  Language:Jupyter Notebook837810

• TuBui/RoSteALS

  RoSteALS: Robust Steganography using Autoencoder Latent Space

  Language:Python780016

• mlvlab/DAVI

  Official Implementation (Pytorch) of "DAVI: Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems", ECCV 2024 Oral paper

  Language:Python67514

• sungonce/SENet

  Official PyTorch Implementation of Revisiting Self-Similarity: Structural Embedding for Image Retrieval, CVPR 2023

  Language:Python65253

• JisongXie/StegaStamp_pytorch

  StegaStamp of pytorch version

  Language:Python632821

• soominkwon/resample

  Official implementation of ReSample (https://arxiv.org/abs/2307.08123)

  Language:Python63198

• niuchuangnn/noise2sim

  Noise2Sim is a general unsupervised deep denoising method.

  Language:Python47228

• GuillermoCarbajal/NonUniformBlurKernelEstimation

  Code associated with arXiv paper Non-uniform Motion Blur Kernel Estimation via Adaptive Decomposition.

  Language:Python443116

• adobe/trustmark

  TrustMark - Universal Watermarking for Arbitrary Resolution Images

  Language:JavaScript36979

• HDCVLab/MC-Blur-Dataset

  Language:Python30200

• HPLQAQ/SAM-Deblur

  Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)

  Language:Python30271