InstaGAN: Instance-aware Image Translation (ICLR 2019)
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Jul 25, 2024 - Python
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[ICLR 2026 Oral] Latent Particle World Models official repository
pytorch vae keypoints self-supervised video-generation video-prediction object-centric object-centric-learning world-model
Official PyTorch implementation of GENESIS and GENESIS-V2
Official implementation of the CVPR'24 paper [Adaptive Slot Attention: Object Discovery with Dynamic Slot Number]
Library for the training and evaluation of object-centric models (ICML 2022)
objects representation-learning unsupervised-learning generalization object-centric ood-generalization distribution-shift structured-representations
This repository is the official implementation of Improving Object-centric Learning With Query Optimization
🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)
benchmarking generative-model object-detection unsupervised-learning variational-inference real-world-images variational-autoencoder instance-segmentation object-segmentation object-centric 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.
[ECCV 2024] Official PyTorch Code of SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction
autonomous-driving nerf 3d-reconstruction pose-estimation single-view object-centric single-view-reconstruction
Hierarchical Causal Latent State Machines for Object-Centric World Modeling
robotics pytorch triton state-space-model object-centric slot-attention causal-reasoning world-model
OCPN Studio is a web application for designing Object-centric Colored Petri Nets. Try it out on https://elte-dsed.github.io/ocpn-studio/
Soup is a WebApp that allows the end user to create an Event Knowledge Graph (EKG). Starting from an event log, saved in a .csv file, the user is guided in creating the EKG to perform object-centric process mining analysis.
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.
deep-learning pytorch transformer generative-model autoencoder segmentation attention-mechanism variational-autoencoder object-centric slot-attention
Combining object and pixels channels falls in the sweetspot of the abstraction–fidelity trade-off and improves robustness and sample efficiency compared to pure pixel-based approaches.
Reference Implementation for my thesis on "Structured Image Decompositions using Unsupervised Object-Centric Learning"
clustering pytorch vae unsupervised-learning discrete-optimization generative-models gradient-estimator pytorch-lightning object-centric
A glass-box, safety-shielded agent for the ARC-AGI-3 interactive reasoning benchmark: object-centric perception, a human-readable learned world model, BFS planning, and an online-learned safety shield. CPU-only, no hosted LLM, honest live-API evaluation.
python agent benchmark numpy planning ai-safety curiosity reasoning interpretability explainable-ai world-models safe-reinforcement-learning object-centric safe-exploration arc-agi cpu-only agent-safety arc-agi-3 glass-box interactive-reasoning
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