Let us control diffusion models!

This repo implements ControlNet with DDPM and Latent Diffusion Model in PyTorch with canny edges as conditional control for Mnist and CelebHQ

Implementation of 'Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization' [CVPR 2021]

Worldwide building footprints derived from satellite imagery

A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech

Using StableDiffusion and ControlNet to generate synthetic aerial images

Official PyTorch repo for JoJoGAN: One Shot Face Stylization

Computer generated building footprints for the United States

A curated list of awesome vision and language resources for earth observation.

[WACV 2024] Official repository of SyntheWorld

[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.

Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"

The source code of DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

(ECCV 2020) Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation

Code for TGRS paper "Universal Domain Adaptation for Remote Sensing Image Scene Classification"

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

This is a R toolkit and developer version package to estimate multidimensional aspects of greenness and nature exposure, such as availability, accessibility and visibility using various geospatial …

DualGAN-tensorflow: tensorflow implementation of DualGAN

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Implementation of ResiDualGAN and DRDG

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Code for the paper 'Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search'. Accepted in ECCV2020 (Spotlight). Preprint: https://arxiv.org/abs/2006.…

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

The implementations of "Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer"

A comparison of deep learning segmentation models for deforestation monitoring using multispectral satellite imagery. Research paper and project work completed as part of LSE's ST456 Deep Learning …

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery…