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05/24/2023
Manifold Diffusion Fields
We present Manifold Diffusion Fields (MDF), an approach to learn generat...
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03/01/2023
Diffusion Probabilistic Fields
Diffusion probabilistic models have quickly become a major approach for ...
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07/12/2021
Fast and Explicit Neural View Synthesis
We study the problem of novel view synthesis of a scene comprised of 3D ...
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07/02/2021
Implicit Greedy Rank Learning in Autoencoders via Overparameterized Linear Networks
Deep linear networks trained with gradient descent yield low rank soluti...
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07/01/2021
Implicit Acceleration and Feature Learning in Infinitely Wide Neural Networks with Bottlenecks
We analyze the learning dynamics of infinitely wide neural networks with...
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04/01/2021
Unconstrained Scene Generation with Locally Conditioned Radiance Fields
We tackle the challenge of learning a distribution over complex, realist...
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06/27/2020
On the generalization of learning-based 3D reconstruction
State-of-the-art learning-based monocular 3D reconstruction methods lear...
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10/29/2019
Adversarial Fisher Vectors for Unsupervised Representation Learning
We examine Generative Adversarial Networks (GANs) through the lens of de...
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10/28/2019