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

ArXiv PDF HTML

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

46 / 46 papers shown

Title
Hierarchical Compact Clustering Attention (COCA) for Unsupervised Object-Centric Learning Can Küçüksözen Yücel Yemez OCL 55 0 0 04 May 2025
Object-Centric World Model for Language-Guided Manipulation Youngjoon Jeong Junha Chun S. Cha Taesup Kim OCL VGen 217 2 0 08 Mar 2025
Vector-Quantized Vision Foundation Models for Object-Centric Learning Rongzhen Zhao V. Wang Arno Solin Joni Pajarinen OCL VLM 287 0 0 27 Feb 2025
Object-Centric Image to Video Generation with Language Guidance Angel Villar-Corrales Gjergj Plepi Sven Behnke DiffM VGen OCL 80 1 0 17 Feb 2025
Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional Generation Adil Kaan Akan Yucel Yemez DiffM OCL 49 0 0 27 Jan 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 215 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 232 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 50 5 0 22 Jul 2024
Attention Normalization Impacts Cardinality Generalization in Slot Attention Markus Krimmel Jan Achterhold Joerg Stueckler OCL 47 0 0 04 Jul 2024
Learning Object-Centric Representation via Reverse Hierarchy Guidance Junhong Zou Xiangyu Zhu Zhaoxiang Zhang Zhen Lei BDL ObjD OCL 26 0 0 17 May 2024
Reasoning-Enhanced Object-Centric Learning for Videos Jian Li Pu Ren Yang Liu Hao Sun OCL LRM 48 2 0 22 Mar 2024
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach Guillermo Puebla Jeffrey S. Bowers OCL 43 0 0 20 Feb 2024
Neural Language of Thought Models Yi-Fu Wu Minseung Lee Sungjin Ahn MLLM VLM 80 6 0 02 Feb 2024
Explicitly Disentangled Representations in Object-Centric Learning Riccardo Majellaro Jonathan Collu Aske Plaat Thomas M. Moerland CoGe OOD OCL 76 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 38 45 0 18 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 2 0 08 Apr 2023
Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots Dong Lao Zhengyang Hu Francesco Locatello Yanchao Yang Stefano Soatto OCL 33 5 0 04 Apr 2023
Learning to reason over visual objects S. S. Mondal Taylor Webb Jonathan D. Cohen OCL 33 29 0 03 Mar 2023
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 34 36 0 02 Nov 2022
Learning Explicit Object-Centric Representations with Vision Transformers Oscar Vikström Alexander Ilin OCL ViT 40 4 0 25 Oct 2022
Solving Reasoning Tasks with a Slot Transformer Ryan Faulkner Daniel Zoran LRM 26 1 0 20 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che Boris Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 34 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 47 140 0 29 Sep 2022
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation Michael Chang Thomas Griffiths Sergey Levine OCL 69 58 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 33 91 0 14 Jun 2022
Towards Improving the Generation Quality of Autoregressive Slot VAEs Patrick Emami Pan He Sanjay Ranka Anand Rangarajan OCL 38 1 0 03 Jun 2022
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation M. Montero J. Bowers Rui Ponte Costa Casimir J. H. Ludwig Gaurav Malhotra DRL CoGe 32 11 0 05 Apr 2022
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers Anand Gopalakrishnan Kazuki Irie Jürgen Schmidhuber Sjoerd van Steenkiste OffRL 26 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 43 214 0 24 Nov 2021
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation Laurynas Karazija Iro Laina Christian Rupprecht 3DV VOS 47 84 0 19 Nov 2021
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision I. Higgins Peter Wirnsberger Andrew Jaegle Aleksandar Botev 50 8 0 10 Nov 2021
Illiterate DALL-E Learns to Compose Gautam Singh Fei Deng Sungjin Ahn CoGe OCL 27 133 0 17 Oct 2021
Learning to Give Checkable Answers with Prover-Verifier Games Cem Anil Guodong Zhang Yuhuai Wu Roger C. Grosse 27 15 0 27 Aug 2021
Reasoning-Modulated Representations Petar Velivcković Matko Bovsnjak Thomas Kipf Alexander Lerchner R. Hadsell Razvan Pascanu Charles Blundell OCL OOD SSL 18 15 0 19 Jul 2021
Unsupervised Layered Image Decomposition into Object Prototypes Tom Monnier Elliot Vincent Jean Ponce Mathieu Aubry OCL 16 53 0 29 Apr 2021
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement Martin Engelcke Oiwi Parker Jones Ingmar Posner OCL 37 115 0 20 Apr 2021
Towards Building A Group-based Unsupervised Representation Disentanglement Framework Tao Yang Xuanchi Ren Yuwang Wang W. Zeng Nanning Zheng CoGe DRL 24 27 0 20 Feb 2021
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 225 68 0 23 Oct 2020
Learning from Demonstration with Weakly Supervised Disentanglement Yordan V. Hristov S. Ramamoorthy DRL 27 9 0 16 Jun 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 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 45 246 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 27 74 0 25 Sep 2019
Reconstructing continuous distributions of 3D protein structure from cryo-EM images Ellen D. Zhong Tristan Bepler Joseph H. Davis Bonnie Berger 3DV 6 109 0 11 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 33 134 0 07 Jun 2019
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video Miguel Jaques Michael G. Burke Timothy M. Hospedales VGen PINN 21 45 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 42 499 0 01 Mar 2019