An Efficient System for Automatic Map Storytelling using Generative Pre-trained Transformer (GPT) Models – A Case Study on Historical Maps

Official code for StegoGAN: Leveraging Steganography for Non-bijective Image-to-Image Translation

LLM101n: Let's build a Storyteller

Leonardo Citraro, Mateusz Kozinski, Pascal Fua, Towards Reliable Evaluation of Road Network Reconstructions, ECCV 2020

LaTeX template for a PhD thesis at ETH Zurich

End-to-End Object Detection with Transformers

(CVPR 2022) Text Spotting Transformers

Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

Official repository of "Diffusion-based Image Translation using Disentangled Style and Content Representation" ( ICLR 2023 )

PyTorch implementation of "Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps".

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)

Two time-scale update rule for training GANs

differentiable bezier curve rasterizer with PyTorch

Pytorch code for DAE and IntrinsicDAE

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

Autoencoding beyond pixels using a learned similarity metric by Larsen et al. (https://arxiv.org/abs/1512.09300)

Keras implementation of Deeplab v3+ with pretrained weights

A collection of loss functions for medical image segmentation