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01/13/2023
Laser: Latent Set Representations for 3D Generative Modeling
NeRF provides unparalleled fidelity of novel view synthesis: rendering a...
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01/31/2022
Adversarial Masking for Self-Supervised Learning
We propose ADIOS, a masked image model (MIM) framework for self-supervis...
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04/02/2021
Decomposing 3D Scenes into Objects via Unsupervised Volume Segmentation
We present ObSuRF, a method which turns a single image of a scene into a...
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04/01/2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model
We propose NeRF-VAE, a 3D scene generative model that incorporates geome...
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06/26/2020
Conditional Set Generation with Transformers
A set is an unordered collection of unique elements–and yet many machine...
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12/05/2019
MetaFun: Meta-Learning with Iterative Functional Updates
Few-shot supervised learning leverages experience from previous learning...
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07/30/2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Generative models are emerging as promising tools in robotics and reinfo...
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07/12/2019
End-to-end Recurrent Multi-Object Tracking and Trajectory Prediction with Relational Reasoning
The majority of contemporary object-tracking approaches used in autonomo...
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06/17/2019
Stacked Capsule Autoencoders
An object can be seen as a geometrically organized set of interrelated p...
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10/01/2018
Set Transformer
Many machine learning tasks such as multiple instance learning, 3D shape...
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06/05/2018
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
We present Sequential Attend, Infer, Repeat (SQAIR), an interpretable de...
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05/26/2018
Revisiting Reweighted Wake-Sleep
Discrete latent-variable models, while applicable in a variety of settin...
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02/13/2018
Tighter Variational Bounds are Not Necessarily Better
We provide theoretical and empirical evidence that using tighter evidenc...
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06/28/2017