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02/06/2023
Structure and Content-Guided Video Synthesis with Diffusion Models
Text-guided generative diffusion models unlock powerful image creation a...
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05/19/2022
Towards Unified Keyframe Propagation Models
Many video editing tasks such as rotoscoping or object removal require t...
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12/20/2021
High-Resolution Image Synthesis with Latent Diffusion Models
By decomposing the image formation process into a sequential application...
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08/19/2021
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis
Autoregressive models and their sequential factorization of the data lik...
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04/15/2021
Geometry-Free View Synthesis: Transformers and no 3D Priors
Is a geometric model required to synthesize novel views from a single im...
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01/27/2021
Shape or Texture: Understanding Discriminative Features in CNNs
Contrasting the previous evidence that neurons in the later layers of a ...
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12/17/2020
Taming Transformers for High-Resolution Image Synthesis
Designed to learn long-range interactions on sequential data, transforme...
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12/04/2020
A Note on Data Biases in Generative Models
It is tempting to think that machines are less prone to unfairness and p...
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09/09/2020
Unsupervised Part Discovery by Unsupervised Disentanglement
We address the problem of discovering part segmentations of articulated ...
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08/04/2020
Making Sense of CNNs: Interpreting Deep Representations Their Invariances with INNs
To tackle increasingly complex tasks, it has become an essential ability...
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05/27/2020
Network Fusion for Content Creation with Conditional INNs
Artificial Intelligence for Content Creation has the potential to reduce...
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04/27/2020
A Disentangling Invertible Interpretation Network for Explaining Latent Representations
Neural networks have greatly boosted performance in computer vision by l...
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10/22/2019
Unsupervised Robust Disentangling of Latent Characteristics for Image Synthesis
Deep generative models come with the promise to learn an explainable rep...
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04/12/2018