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03/30/2023
Discriminative Class Tokens for Text-to-Image Diffusion Models
Recent advances in text-to-image diffusion models have enabled the gener...
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02/09/2023
Polynomial Neural Fields for Subband Decomposition and Manipulation
Neural fields have emerged as a new paradigm for representing signals, t...
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11/17/2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
The ability to assess the robustness of image classifiers to a diverse s...
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06/24/2022
Text-Driven Stylization of Video Objects
We tackle the task of stylizing video objects in an intuitive and semant...
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06/06/2022
Volumetric Disentanglement for 3D Scene Manipulation
Recently, advances in differential volumetric rendering enabled signific...
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05/05/2022
On Disentangled and Locally Fair Representations
We study the problem of performing classification in a manner that is fa...
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12/09/2021
Locally Shifted Attention With Early Global Integration
Recent work has shown the potential of transformers for computer vision ...
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12/06/2021
Text2Mesh: Text-Driven Neural Stylization for Meshes
In this work, we develop intuitive controls for editing the style of 3D ...
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10/24/2021
Image-Based CLIP-Guided Essence Transfer
The conceptual blending of two signals is a semantic task that may under...
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05/30/2021
Identity and Attribute Preserving Thumbnail Upscaling
We consider the task of upscaling a low resolution thumbnail image of a ...
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04/29/2021
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection
Anomaly detection, the task of identifying unusual samples in data, ofte...
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10/09/2020
Permuted AdaIN: Enhancing the Representation of Local Cues in Image Classifiers
Recent work has shown that convolutional neural network classifiers over...
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06/22/2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample
We consider the task of generating diverse and novel videos from a singl...
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04/26/2020
Evaluation Metrics for Conditional Image Generation
We present two new metrics for evaluating generative models in the class...
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04/13/2020
SpeedNet: Learning the Speediness in Videos
We wish to automatically predict the "speediness" of moving objects in v...
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04/05/2020
Structural-analogy from a Single Image Pair
The task of unsupervised image-to-image translation has seen substantial...
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01/14/2020
Unsupervised Learning of the Set of Local Maxima
This paper describes a new form of unsupervised learning, whose input is...
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01/14/2020
Emerging Disentanglement in Auto-Encoder Based Unsupervised Image Content Transfer
We study the problem of learning to map, in an unsupervised way, between...
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08/30/2019
Domain Intersection and Domain Difference
We present a method for recovering the shared content between two visual...
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06/15/2019
Mask Based Unsupervised Content Transfer
We consider the problem of translating, in an unsupervised manner, betwe...
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12/14/2018
Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures
We study the problem of semi-supervised singing voice separation, in whi...
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07/23/2018
Generalization Bounds for Unsupervised Cross-Domain Mapping with WGANs
The recent empirical success of cross-domain mapping algorithms, between...
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06/15/2018
One-Shot Unsupervised Cross Domain Translation
Given a single image x from domain A and a set of images from domain B, ...
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12/21/2017
Maximally Distant Cross Domain Generators for Estimating Per-Sample Error
While in supervised learning, the validation error is an unbiased estima...
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06/02/2017
