Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs

21 January 2019

Nicholas Watters

Loic Matthey

Christopher P. Burgess

Alexander Lerchner

CoGe

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Papers citing "Spatial Broadcast Decoder: A Simple Architecture for Learning Disentangled Representations in VAEs"

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Title
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Can Küçüksözen Yücel Yemez OCL 45 0 0 04 May 2025
Object-Centric World Model for Language-Guided Manipulation Youngjoon Jeong Junha Chun S. Cha Taesup Kim OCL VGen 126 1 0 08 Mar 2025
Vector-Quantized Vision Foundation Models for Object-Centric Learning Rongzhen Zhao V. Wang Juho Kannala J. Pajarinen OCL VLM 175 0 0 27 Feb 2025
Object-Centric Image to Video Generation with Language Guidance Angel Villar-Corrales Gjergj Plepi Sven Behnke DiffM VGen OCL 71 0 0 17 Feb 2025
Slot-BERT: Self-supervised Object Discovery in Surgical Video Guiqiu Liao M. Jogan Marcel Hussing Kenta Nakahashi Kazuhiro Yasufuku Amin Madani Eric Eaton Daniel A. Hashimoto 112 0 0 21 Jan 2025
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 113 0 0 28 Oct 2024
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 44 5 0 22 Jul 2024
Attention Normalization Impacts Cardinality Generalization in Slot Attention Markus Krimmel Jan Achterhold Joerg Stueckler OCL 37 0 0 04 Jul 2024
Reasoning-Enhanced Object-Centric Learning for Videos Jian Li Pu Ren Yang Liu Hao-Lun Sun OCL LRM 40 2 0 22 Mar 2024
Neural Language of Thought Models Yi-Fu Wu Minseung Lee Sungjin Ahn MLLM VLM 55 6 0 02 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 63 1 0 18 Jan 2024
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models Ziyi Wu Jingyu Hu Wuyue Lu Igor Gilitschenski Animesh Garg DiffM OCL 28 44 0 18 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 19 1 0 08 Apr 2023
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 26 36 0 02 Nov 2022
Learning Explicit Object-Centric Representations with Vision Transformers Oscar Vikström Alexander Ilin OCL ViT 22 4 0 25 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che B. Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 26 8 0 11 Oct 2022
Bridging the Gap to Real-World Object-Centric Learning Maximilian Seitzer Max Horn Andrii Zadaianchuk Dominik Zietlow Tianjun Xiao ... Tong He Zheng-Wei Zhang Bernhard Schölkopf Thomas Brox Francesco Locatello OCL 37 139 0 29 Sep 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas L. Griffiths Sergey Levine OCL 54 59 0 02 Jul 2022
Object Scene Representation Transformer Mehdi S. M. Sajjadi Daniel Duckworth Aravindh Mahendran Sjoerd van Steenkiste Filip Pavetić Mario Luvcić Leonidas J. Guibas Klaus Greff Thomas Kipf ViT OCL 22 89 0 14 Jun 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 19 16 0 25 Mar 2022
Conditional Object-Centric Learning from Video Thomas Kipf Gamaleldin F. Elsayed Aravindh Mahendran Austin Stone S. Sabour G. Heigold Rico Jonschkowski Alexey Dosovitskiy Klaus Greff OCL 39 214 0 24 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija Iro Laina Christian Rupprecht 3DV VOS 27 83 0 19 Nov 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 24 7 0 10 Nov 2021
Unsupervised Layered Image Decomposition into Object Prototypes Tom Monnier Elliot Vincent Jean Ponce Mathieu Aubry OCL 9 53 0 29 Apr 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 29 115 0 20 Apr 2021
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 213 68 0 23 Oct 2020
Learning from Demonstration with Weakly Supervised Disentanglement Yordan V. Hristov S. Ramamoorthy DRL 14 9 0 16 Jun 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition Zhixuan Lin Yi-Fu Wu Skand Peri Weihao Sun Gautam Singh Fei Deng Jindong Jiang Sungjin Ahn BDL OCL 3DPC 23 246 0 08 Jan 2020
Explicitly disentangling image content from translation and rotation with spatial-VAE Tristan Bepler Ellen D. Zhong Kotaro Kelley E. Brignole Bonnie Berger CoGe DRL 14 74 0 25 Sep 2019
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal Manuel Wüthrich Ðorðe Miladinovic Francesco Locatello M. Breidt V. Volchkov J. Akpo Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD DRL 25 133 0 07 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 13 44 0 27 May 2019
Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff Raphael Lopez Kaufman Rishabh Kabra Nicholas Watters Christopher P. Burgess Daniel Zoran Loic Matthey M. Botvinick Alexander Lerchner OCL SSL 13 499 0 01 Mar 2019