GeoCo-SAVi: Geometry-Consistent Slot Attention for Explicitly Editable Object Representations

arXiv:2609.06628 · cs.CV · Submitted 2026-09-06 · Read on arXiv

cs.CV

Submitted: 2026-09-06

Updated: 2026-09-26

Code: https://github.com/starx237/GeoCo

Project page: https://geoco-savi.github.io

Terminology

• alpha — 33× in this paper · explained in 1 episode
• Core — 27× in this paper · explained in 2 episodes
• Calibration — 17× in this paper · explained in 7 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Alignment — 7× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• In International Conference on Learning Representations — 3× in this paper
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Decode — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• World Model — 2× in this paper · explained in 7 episodes
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Sampling — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Anisotropy — 1× in this paper · explained in 3 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Exchangeability — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• In International Conference on Machine Learning — 1× in this paper
• In Invariant Slot Attention — 1× in this paper
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• Layer Normalization
• MONet: Unsupervised Scene Decomposition and Representation
• Leveraging Image Augmentation for Object Manipulation: Towards Interpretable Controllability in Object-Centric Learning
• Reasoning-Enhanced Object-Centric Learning for Videos
• Selective Synergistic Learning for Video Object-Centric Learning
• Dual-State Slot Attention: Decoupling Appearance and Identity for Video Object-Centric Learning
• Attention Is All You Need
• Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs
• Rethinking Object-Centric Representations for Video Dynamics Modeling

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