High-Resolution Image Synthesis with Latent Diffusion Models

From-scratch diffusion model implemented in PyTorch.

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

TEED: Tiny and Efficient Edge Detector

Code for UAED and MuGE

Official PyTorch implementation of ECCV 2024 Paper: ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback.

Let us control diffusion models!

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

# Learning What and Where to Draw

PyTorch implementations of Generative Adversarial Networks.

A Collection of Variational Autoencoders (VAE) in PyTorch.

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Ultralytics YOLO11 🚀

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

Awesome OVD-OVS - A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

FSL-Mate: A collection of resources for few-shot learning (FSL).

This repo provides pytorch code which replicates the results of the Matching Networks for One Shot Learning paper on the Omniglot and MiniImageNet dataset

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Open-Set Grounded Text-to-Image Generation

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation [Inoue+, CVPR2023]

The implement for paper : "A Novel Approach to Industrial Defect Generation through Blended Latent Diffusion Model with Online Adaptation"

Official implementation of "ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models".

[CVPR 2023] Unofficial re-implementation of "WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation".

The code and data to plot edge PR curves for many existing edge detectors