J1angYu

J1angYu's Stars

• Candy-CY/Hyperspectral-Image-Classification-Models

  收录及复现的高光谱遥感图像分类模型

  Language:Python64082

• JiangWeibeta/MLIC

  Multi-Reference Entropy Models for Learned Image Compression

  Language:Python9910

• lianqi1008/Control-GIC

  Pytorch implementation of the paper "Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaption".

  Language:Python431

• BYchao100/Deep-Lossy-Plus-Residual-Coding

  Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression (TPAMI'24, Journal Extension of our CVPR'21 work)

  Language:Python15

• buggyyang/CDC_compression

  codebase for Lossy Image Compression with Conditional Diffusion Models

  Language:Python998

• Justin-Tan/high-fidelity-generative-compression

  Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression

  Language:Python42279

• Justin-Tan/generative-compression

  TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

  Language:Python516105

• zoubohao/DenoisingDiffusionProbabilityModel-ddpm-

  This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

  Language:Python1.6k176

• zhengchen1999/BI-DiffSR

  PyTorch code for our NeurIPS 2024 paper "Binarized Diffusion Model for Image Super-Resolution"

  Language:Python231

• Joanna-0421/COSMIC

  [NeurIPS 2024] COSMIC: Compress Satellite Images Efficiently via Diffusion Compensation

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• milesial/Pytorch-UNet

  PyTorch implementation of the U-Net for image semantic segmentation with high quality images

  Language:Python9.3k2.5k

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python58.9k6.2k

• junyanz/pytorch-CycleGAN-and-pix2pix

  Image-to-Image Translation in PyTorch

  Language:Python23.2k6.3k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.5k4.1k

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript55k15.9k

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python38.4k7.3k