InstaGAN: Instance-aware Image Translation (ICLR 2019)
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Updated
Jul 25, 2024 - 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 Obj Seg (NeurIPS 2022 & IJCV 2024)
Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.
Official implementation of the CVPR'24 paper [Adaptive Slot Attention: Object Discovery with Dynamic Slot Number]
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.
[ECCV 2024] SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
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).
Unsupervised object-centric learning models using Slot Attention in PyTorch.
Reference Implementation for my thesis on "Structured Image Decompositions using Unsupervised Object-Centric Learning"
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