Bottom-up Modeling of Repeated Elements via Single Image Analysis-by-Synthesis

arXiv:2609.07939 · cs.CV · Submitted 2026-09-07 · Read on arXiv

cs.CV

Submitted: 2026-09-07

Updated: 2026-09-16

Terminology

• International Conference on Computer Vision — 10× in this paper
• Alignment — 9× in this paper · explained in 1 episode
• Transformer — 9× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Regularization — 5× in this paper · explained in 3 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Sparsity — 4× in this paper · explained in 4 episodes
• alpha — 4× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Segmentation Masks — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Pseudo-labels — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Synthetic Data Generation — 1× in this paper · explained in 5 episodes

Sources

• Open-world Text-specified Object Counting
• Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
• MONet: Unsupervised Scene Decomposition and Representation
• Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects
• FastJAM: a Fast Joint Alignment Model for Images
• ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
• SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
• CounTR: Transformer-based Generalised Visual Counting
• Bridging the Gap to Real-World Object-Centric Learning
• DINOv3
• Illiterate DALL-E Learns to Compose
• Unsupervised Object Discovery: A Comprehensive Survey and Unified Taxonomy

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