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04/28/2023
SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
Text-conditioned image generation has made significant progress in recen...
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07/26/2022
Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models
Novel architectures have recently improved generative image synthesis le...
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07/25/2022
ArtFID: Quantitative Evaluation of Neural Style Transfer
The field of neural style transfer has experienced a surge of research e...
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04/25/2022
Retrieval-Augmented Diffusion Models
Generative image synthesis with diffusion models has recently achieved e...
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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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09/17/2021
Unsupervised View-Invariant Human Posture Representation
Most recent view-invariant action recognition and performance assessment...
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09/09/2021
Improving Deep Metric Learning by Divide and Conquer
Deep metric learning (DML) is a cornerstone of many computer vision appl...
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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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07/20/2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Deep Metric Learning (DML) aims to find representations suitable for zer...
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07/14/2021
Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting
The search for specific objects or motifs is essential to art history as...
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07/06/2021
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis
How would a static scene react to a local poke? What are the effects on ...
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06/21/2021
Understanding Object Dynamics for Interactive Image-to-Video Synthesis
What would be the effect of locally poking a static scene? We present an...
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05/13/2021
High-Resolution Complex Scene Synthesis with Transformers
The use of coarse-grained layouts for controllable synthesis of complex ...
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05/10/2021
Stochastic Image-to-Video Synthesis using cINNs
Video understanding calls for a model to learn the characteristic interp...
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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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03/31/2021
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
There have been many successful implementations of neural style transfer...
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03/08/2021
Behavior-Driven Synthesis of Human Dynamics
Generating and representing human behavior are of major importance for v...
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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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09/17/2020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
Deep Metric Learning (DML) provides a crucial tool for visual similarity...
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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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04/28/2020
DiVA: Diverse Visual Feature Aggregation forDeep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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04/28/2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
Visual Similarity plays an important role in many computer vision applic...
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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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04/12/2020
Sharing Matters for Generalization in Deep Metric Learning
Learning the similarity between images constitutes the foundation for nu...
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03/25/2020
Learning to Correct Overexposed and Underexposed Photos
Capturing photographs with wrong exposures remains a major source of err...
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03/24/2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Learning visual similarity requires to learn relations, typically betwee...
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03/18/2020
A Content Transformation Block For Image Style Transfer
Style transfer has recently received a lot of attention, since it allows...
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11/18/2019
Unsupervised Representation Learning by Discovering Reliable Image Relations
Learning robust representations that allow to reliably establish relatio...
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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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09/25/2019
MIC: Mining Interclass Characteristics for Improved Metric Learning
Metric learning seeks to embed images of objects suchthat class-defined ...
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06/17/2019
Multi-Scale Convolutions for Learning Context Aware Feature Representations
Finding semantic correspondences is a challenging problem. With the brea...
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06/14/2019
Divide and Conquer the Embedding Space for Metric Learning
Learning the embedding space, where semantically similar objects are loc...
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03/16/2019
Unsupervised Part-Based Disentangling of Object Shape and Appearance
Large intra-class variation is the result of changes in multiple object ...
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11/09/2018
Cross and Learn: Cross-Modal Self-Supervision
In this paper we present a self-supervised method for representation lea...
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07/30/2018
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning
Self-supervised learning of convolutional neural networks can harness la...
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07/26/2018
A Style-Aware Content Loss for Real-time HD Style Transfer
Recently, style transfer has received a lot of attention. While much of ...
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04/12/2018
A Variational U-Net for Conditional Appearance and Shape Generation
Deep generative models have demonstrated great performance in image synt...
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02/22/2018
Deep Unsupervised Learning of Visual Similarities
Exemplar learning of visual similarities in an unsupervised manner is a ...
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08/07/2017
Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
Human pose analysis is presently dominated by deep convolutional network...
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08/03/2017
Unsupervised Video Understanding by Reconciliation of Posture Similarities
Understanding human activity and being able to explain it in detail surp...
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04/07/2017
Deep Unsupervised Similarity Learning using Partially Ordered Sets
Unsupervised learning of visual similarities is of paramount importance ...
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08/31/2016
CliqueCNN: Deep Unsupervised Exemplar Learning
Exemplar learning is a powerful paradigm for discovering visual similari...
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02/22/2015