Imagen de Portada

Slot-VAE: Object-Centric Scene Generation with Slot Attention

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Yanbo, Liu, Letao, Dauwels, Justin
Formato:	Preprint
Publicado:	2023
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

When Slots Compete: Slot Merging in Object-Centric Learning
por: Chatzisavvas, Christos, et al.
Publicado: (2026)

Compositional Scene Understanding through Inverse Generative Modeling
por: Wang, Yanbo, et al.
Publicado: (2025)

MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
por: Liu, Hongjia, et al.
Publicado: (2025)

Learning Global Object-Centric Representations via Disentangled Slot Attention
por: Chen, Tonglin, et al.
Publicado: (2024)

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number
por: Fan, Ke, et al.
Publicado: (2024)

SlotMemory: Object-Centric KV Memory for Streaming Long-Video Generation
por: Dou, Weijia, et al.
Publicado: (2026)

QASA: Quality-Guided K-Adaptive Slot Attention for Unsupervised Object-Centric Learning
por: Ouyang, Tianran, et al.
Publicado: (2026)

ContextFusion and Bootstrap: An Effective Approach to Improve Slot Attention-Based Object-Centric Learning
por: Tian, Pinzhuo, et al.
Publicado: (2025)

Guided Slot Attention for Unsupervised Video Object Segmentation
por: Lee, Minhyeok, et al.
Publicado: (2023)

Object-Centric Learning with Slot Mixture Module
por: Kirilenko, Daniil, et al.
Publicado: (2023)

Learning Object-Centric Representations Based on Slots in Real World Scenarios
por: Akan, Adil Kaan
Publicado: (2025)

OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning
por: Yin, Xu, et al.
Publicado: (2024)

SlotVTG: Object-Centric Adapter for Generalizable Video Temporal Grounding
por: Han, Jiwook, et al.
Publicado: (2026)

Attention Normalization Impacts Cardinality Generalization in Slot Attention
por: Krimmel, Markus, et al.
Publicado: (2024)

Predicting Video Slot Attention Queries from Random Slot-Feature Pairs
por: Zhao, Rongzhen, et al.
Publicado: (2025)

GLASS: Guided Latent Slot Diffusion for Object-Centric Learning
por: Singh, Krishnakant, et al.
Publicado: (2024)

Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM
por: Chi, Donghwan, et al.
Publicado: (2025)

Smoothing Slot Attention Iterations and Recurrences
por: Zhao, Rongzhen, et al.
Publicado: (2025)

Neural Slot Interpreters: Grounding Object Semantics in Emergent Slot Representations
por: Dedhia, Bhishma, et al.
Publicado: (2024)

SlotMatch: Distilling Object-Centric Representations for Unsupervised Video Segmentation
por: Grigore, Diana-Nicoleta, et al.
Publicado: (2025)

Temporally Consistent Object-Centric Learning by Contrasting Slots
por: Manasyan, Anna, et al.
Publicado: (2024)

FORLA: Federated Object-centric Representation Learning with Slot Attention
por: Liao, Guiqiu, et al.
Publicado: (2025)

Slot Attention with Re-Initialization and Self-Distillation
por: Zhao, Rongzhen, et al.
Publicado: (2025)

Unsupervised Structural Scene Decomposition via Foreground-Aware Slot Attention with Pseudo-Mask Guidance
por: Sheng, Huankun, et al.
Publicado: (2025)

Slot-guided Volumetric Object Radiance Fields
por: Qi, Di, et al.
Publicado: (2024)

Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation
por: Akan, Adil Kaan, et al.
Publicado: (2025)

Slot-VLM: SlowFast Slots for Video-Language Modeling
por: Xu, Jiaqi, et al.
Publicado: (2024)

Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning
por: Moon, WonJun, et al.
Publicado: (2026)

PlaySlot: Learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
por: Villar-Corrales, Angel, et al.
Publicado: (2025)

MUFASA: A Multi-Layer Framework for Slot Attention
por: Bock, Sebastian, et al.
Publicado: (2026)

Masked Multi-Query Slot Attention for Unsupervised Object Discovery
por: Pramanik, Rishav, et al.
Publicado: (2024)

SlotLifter: Slot-guided Feature Lifting for Learning Object-centric Radiance Fields
por: Liu, Yu, et al.
Publicado: (2024)

Slot Attention-based Feature Filtering for Few-Shot Learning
por: Rodenas, Javier, et al.
Publicado: (2025)

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video
por: Liao, Guiqiu, et al.
Publicado: (2025)

Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots
por: Lao, Dong, et al.
Publicado: (2023)

What-Where Transformer: A Slot-Centric Visual Backbone for Concurrent Representation and Localization
por: Yoshihashi, Ryota, et al.
Publicado: (2026)

Slot-ID: Identity-Preserving Video Generation from Reference Videos via Slot-Based Temporal Identity Encoding
por: Lai, Yixuan, et al.
Publicado: (2026)

Improving Sound Source Localization with Joint Slot Attention on Image and Audio
por: Kim, Inho, et al.
Publicado: (2025)

Bootstrapping Top-down Information for Self-modulating Slot Attention
por: Kim, Dongwon, et al.
Publicado: (2024)

SlotVLA: Towards Modeling of Object-Relation Representations in Robotic Manipulation
por: Hanyu, Taisei, et al.
Publicado: (2025)