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a-survey-on-generative-diffusion-model

accuracyla

awesome-gan-inversion

A collection of resources on GAN inversion.

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

awesome-image-translation

A collection of awesome resources image-to-image translation.

awesome-imbalanced-learning

Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

awesome-knowledge-distillation

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

awesome-normalizing-flows

A list of awesome resources on normalizing flows.

awesome-sar-deep-learning

A list of resources to get you started with Deep Learning based despeckling of Synthetic Aperture Radar(SAR) images

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome-super-resolution

Collect super-resolution related papers, data, repositories

awesome-vision-attentions

Summary of related papers on visual attention

biggan-pytorch

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

biggan-pytorch-1

The author's officially unofficial PyTorch BigGAN implementation.

ccdm

Code repository for Continuous Conditional Diffusion Model (CCDM)

cdr-rs

Efficient Subsampling of Realistic Images From GANs Conditional on a Class or a Continuous Variable

cellcount_tinybbbc005

Cell counting on the Tiny-BBBC005 datasets

cgan-kd

A unified cGAN-based knowledge distillation method

clash

A rule-based tunnel in Go.

cold-diffusion-models

Official implementation of Cold-Diffusion for different transformations in pytorch.

ctgan

Conditional GAN for generating synthetic tabular data.

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

dataset

医学影像数据集列表

ddre_sampling_gans

Codes for the experiments in "Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space with Softplus Loss"

deep-forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

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.

detr

End-to-End Object Detection with Transformers

diffusion-gan

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

dive-into-cv-pytorch

动手学CV-Pytorch版

drs_tensorflow

Tensorflow implementation of Discriminator Rejection Sampling