InstaGAN: Instance-aware Image Translation (ICLR 2019)
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Updated
Oct 28, 2021 - Python
InstaGAN: Instance-aware Image Translation (ICLR 2019)
Official PyTorch implementation of GENESIS and GENESIS-V2
Library for the training and evaluation of object-centric models (ICML 2022)
This repository is the official implementation of Improving Object-centric Learning With Query Optimization
🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)
Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
Slot-TTA shows that test-time adaptation using slot-centric models can improve image segmentation on out-of-distribution examples.
Proactive Data Containers (PDC) software provides an object-centric API and a runtime system with a set of data object management services. These services allow placing data in the memory and storage hierarchy, performing data movement asynchronously, and providing scalable metadata operations to find data objects.
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
Unsupervised object-centric learning models using Slot Attention in PyTorch.
A process discovery tool for object-centric process mining on logs extracted from a SAP ERP system. It was developed in the "Process Discovery Using Python" lab at PADS (RWTH).
Reference Implementation for my thesis on "Structured Image Decompositions using Unsupervised Object-Centric Learning"
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