-
Nanjing University of Information Science & Technology
- Nanjing
-
12:07
(UTC +08:00)
Lists (30)
Sort Name ascending (A-Z)
3D Reconstruction
domain adaptation
facial image processing
GAN
GNN
model compression
object detection
pose estimation
segmentation
time series
video processing
会议论文集
其他
医疗AI
医疗影像分析、基于AI的医疗问题等各种教程、图书、博客
Tutorials图像翻译
图像超清
super-resolution大模型
小样本问题
small sample, few-shot, zero-shot, etc.扩散模型
diffusion models数据集
智慧气象
标准化流
Normalizing flow流匹配
Flow Matching物理引导的机器学习
PINN等生成模型
网络架构
所有关于CNN、Transformer、Mamba等网络架构的内容自监督学习
self-supervised learning遥感影像分析
remote sensing imaging重要工具
Stars
SimpleAICV:pytorch training and testing examples.
Karras et al. (2022) diffusion models for PyTorch
The paper collections for the autoregressive models in vision.
[CVPR 2024] VkD : Improving Knowledge Distillation using Orthogonal Projections
Simple, unified interface to multiple Generative AI providers
A summary of related works about flow matching, stochastic interpolants
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
A very simple implementation of cyclegan, which is based on pytorch.
A simple and complete implementation of super-resolution paper.
Adaptive Latent Diffusion Model for 3D Medical Image
This is a seed project for distributed PyTorch training, which was built to customize your network quickly
A clean and readable Pytorch implementation of CycleGAN
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-sim…
[TPAMI 2024] Official PyTorch implementation of A Diffusion Model Translator for Efficient Image-to-Image Translation
A collection of papers on Diffusion for Image-to-Image Translation and Style Transfer
Image-to-Image Translation in PyTorch
PyTorch implementation of normalizing flow models
Hybrid-Scale Self-Similarity Exploitation for Remote Sensing Image Super-Resolution (accepted by TGRS)
PyTorch implementations of normalizing flow and its variants.
A Deep Learning based project for colorizing and restoring old images (and video!)
《李宏毅生成式人工智能教程》,PDF下载地址:https://github.com/datawhalechina/leegenai-tutorial/releases
PyTorch code and model checkpoints for Score identity Distillation (SiD) published in ICML 2024
A Collection of Variational Autoencoders (VAE) in PyTorch.
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
Hackable and optimized Transformers building blocks, supporting a composable construction.
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more