PyoJunCode

PyoJunCode's Stars

• XPixelGroup/DiffBIR

  Official codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

  Language:Python3.2k270

• xcmyz/FastSpeech

  The Implementation of FastSpeech based on pytorch.

  Language:Python850211

• sunwj/CAR

  Content adaptive resampler for image downscaling

  Language:C++46979

• cd-athena/VCA

  Video complexity analyzer

  Language:C++739

• NVlabs/stylegan3

  Official PyTorch implementation of StyleGAN3

  Language:Python6.3k1.1k

• shi-yan/H264Naked

  A H264 frame data viewer

  Language:Shell28852

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook24.3k3.2k

• IceClear/StableSR

  [IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution

  Language:Python2.1k129

• Netflix/vmaf

  Perceptual video quality assessment based on multi-method fusion.

  Language:Python4.4k745

• srpkdyy/VideoLDM

  Unofficial PyTorch implementation of the VideoLDM.

  Language:Python1439

• sczhou/Upscale-A-Video

  Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

  89735

• Annbless/DUTCode

  Pytorch implementation of DUT: Learning Video Stabilization by Simply Watching Unstable Videos

  Language:Python23936

• timothybrooks/unprocessing

  Language:Python18347

• cszn/BSRGAN

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

  Language:Python1.2k178

• cszn/SCUNet

  Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

  Language:Python62963

• wyf0912/ExposureDiffusion

  [ICCV 2023] ExposureDiffusion: Learning to Expose for Low-light Image Enhancement

  Language:Python9411

• Marinyyt/PVDD

  Language:Python73

• Xian-Bei/CLUT

  Learning Compressed Representation of 3DLUT for Image-enhancement. Higher performance with much smaller models! :relaxed:

  Language:Python966

• bentoml/BentoML

  The easiest way to serve AI apps and models - Build reliable Inference APIs, LLM apps, Multi-model chains, RAG service, and much more!

  Language:Python6.9k773

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook9.7k1.4k

• vsitzmann/siren

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

  Language:Python1.7k246

• va1shn9v/PromptIR

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

  Language:Python31023

• EdisonLeeeee/Awesome-Masked-Autoencoders

  A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

  75452

• huawei-noah/VanillaNet

  Language:Python80757

• nagejacob/SpatiallyAdaptiveSSID

  Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising (CVPR 2023)

  Language:Python847

• Vandermode/ELD

  Physics-based Noise Modeling for Extreme Low-light Photography (CVPR 2020 Oral & TPAMI 2021)

  Language:Python47966

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.2k748

• RocketChat/Rocket.Chat

  The communications platform that puts data protection first.

  Language:TypeScript39.8k10.2k

• zhangyi-3/IDR

  Self-Supervised Image Denoising via Iterative Data Refinement (CVPR2022)

  Language:Python11515

• zejinwang/Blind2Unblind

  This is an official implementation of the CVPR2022 paper "Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots".

  Language:Python11813